PROCEEDING THE 5th INTERNATIONAL CONFERENCE

ON GREEN TECHNOLOGY

Science and Technology in Islamic Prespective:

Synergy and Their Contribution to Empower Nations

Copyright © 2015

REVIEWER

Prof. Drs. Sutiman B. Sumitro, SU., D.Sc

Assoc. Prof. Dr. Akira Kikuchi

Assoc. Prof. Nangkula Utaberta, Ph.D

Sr. Dr Md. Azree Othuman Mydin

Dr. Agus Salim, M.Si

Dr. drh. Bayyinatul Muchtaromah, M.Si

Dr. H. Zainuddin, M.A.

Dr. Eko Budi Minarno, M.Pd

Dr. Cahyo Crysdian, MCS

Dr. Sri Harini, M.Si

Dr. Agung Sedayu, M.T

EDITOR

M. Jamhuri, M.Si

Fachrur Rozi, M.Si

Ismail

FACULTY OF SCIENCE AND TECHONOLY

MAULANA MALIK IBRAHIM STATE ISLAMIC UNIVERSITY OF MALANG

MALANG

© Hak Cipta Dilindungi oleh Undang-undang

All Right Reserved

CONTENT

SCIENCE AND ISLAM

Science of Islam

Roikhan Mochamad Aziz

NATURAL SCIENCE

Screening of Antagonistic Activity of Endofitic Fungi from Toona

Sinensis Against Candida Albicans

Anggita R. Hafsari, Isma Asterina

Sublethal Effect of Three Types of Herbicides to Growth and Reproduction

of Common Earthworm (Lumbricusrubellus)

Ida Kinasih, Astuti Kusumorini, Purnawarman

The Potential of Protective Trees as CO2 Absorber and Carbon Storage

in Malang Highway

Bagus Setiawan and Dwi Suheriyanto

Moringa Leaves Extract Versus Glucose Levels and Cholesterol Blood Total

Saleh Hidayat, Susi Dewiyeti, Donni Yusuf, and Sintiya Maisaroh

Clove Oil and Neem Seed Extract as Botanical Fungicides Control Rust

Disease (Phakopsora Pachyrhizi) on Soybean

Sumartini

Lipid Production and Growth Performance of Chlorella sp. Grown in

Tofu Waste Water

Evika Sandi Savitri, Romaidi, Ruri Siti Resmisari, Siti Farichah, Hasanuddin

Microcosm Scale Models of Petroleum Bioremediation isn Mangrove Areas

Using Indigenous Hydrocarbonocalstic Bacteria

Hary Widjajanti, Moh.Rasyid Ridho, Munawar

Correlation and Path Analysis Between Yield and Yield-Related Traits

of Twelve Selected Genotypes of Orange-Fleshed Sweet Potato

Wiwit Rahajeng and St. A. Rahayuningsih

Performance of Methylobacterium spp. for Soybean Seed Invigoration

Ratri Tri Hapsari, Eny Widajati, Selly Salma, Maryati Sari

Ethnobotany Parasite Tea (Scurullaatropurpurea (Bl.) Dans.) at

Wonorejo Village Community, District Lawang Malang.

Furqon Al Muzakki and Siti Na’imatun Niswah

Growth of Black Soldier Fly (Hermetiailucens) Larvae and Mealworm

(Tenebriomolitor) during Bioconversion of Rice Straw and Cassava Peel

Ramadhani Eka Putra, Rizal Jam Jam, Ateng Supriatna, Robert Manurung, and Ida

Kinasih

Content

ii Proceeding The 5th International Conference on Green Technology

Response Pigments Anthocyanin from Local Resources of Various Yoghurt

Quality

Moch. Wachid, Zaidur Rizaq, Elfi Anis Saati and Warkoyo

Isolation and Characterization of Lactic Acid Bacteria from Dangke Waste

Production

Hafsan Muhammad Halifah Mustami

Preparation, Modification and Characterization of TiO2/Activated Natural

Zeolite Malang Composite in Weight Ratio 4:9 (w/w)

Suci Amalia, Susi Nurul Khalifah, Aisyah Erlynataand Mohammad Yusuf

Solid State Reaction-Sonication Synthesis and Characterization of

Vanadium (V) Doped TiO2 Photocatalyst

Desy Maulina, Rachmawati Ningsih, Nur Aini

The Determination of Reaction Order and Activation Energy of Glucose

Isomerization in Presence of Malang Natural Zeolite Impregnated by

Tin with Temperature Variation

Pamungkas Dwi Putri W. , Suci Amalia, Susi Nurul Kholifah

Identification of Chlorellasp. Microalgae Fatty Acid by Gas Chromatography-

Mass Spectrophotometer

A. Ghanaim Fasya., Diah Kumalasari, Vera Susanti, Anik Kholifatuz Zahra’, Tri

Kustono Adi, Ahmad Hanapi, Anik Maunatin

Fructooligosaccharides Yacon Tubers [Smallanthus sonchifolia

(Poepp.et Endl.) H.Robinson] for Lowering Blood Triglycerides and

Total Cholesterol: Length of Storage and Boiling Time Variations

Prima Retno Wikandari, Leny Yuanita

Stigmasterol From the Bark of Aglaia Glabrata (Meliaceae)

Supriadin A. and Supratman U.

Effect of Cryoprotectant and Explant Type to Recovery of Two Accessions of

Dioscorea Alata L. After In Vitro Vitrification

Ragapadmi Purnamaningsih, Surya Diantina and Sri Hutami

Phylogenetic Analysis of Endophytic, Pathogenic, and Saprobic Fusaria

Indigenous Indonesia based on Internal Transcribed Spacer and Partial

Elongation Factor Gene Regions

Feni Tunarsih, Gayuh Rahayu, Iman Hidayat

Cytotoxic Activity Extract of Lophatherum Gracile Brongn Leaves and Roots

using BSLT (Brine Shrimp Lethality Test) and Identification of The Active

Compounds

Elok Kamilah Hayati, Roihatul Muti’ah, Alfin Hilda Rizqiyah, Selina Purwita Sari Extraction of Gelatin from Broiler Chicken Bone using Acid

Akyunul Jannah and Anik Maunatin

ISSN: 2301-4490

Issue: 5/2015 iii

Primers and Temperature Annealing Optimization of PCR Amplification

Process In Resistance Gene Analog (RGA) from Some Banana Cultivars

(Musa sp.)

Siti Mar’atush Sholihah, Evika Sandi Savitri Cryopreservation of In Vitro Shoot Tips Dioscorea Esculenta with

Vitrification Method

Surya Diantina, Ragapadmi Purnamaningsih, Sri Hutami

The Antioxidant Activity and Sensory Quality Quality Characteristic of Hojje

Fruit Peel Essential Oil Chicken Sausage Formulation

Dede Sukandar, Anna Muawanah, Eka Rizki Amelia dan Khilda Fithri Aryani

Toxicity Test on Artemia salina Shrimp Larvae of Microalgae Chlorella sp.

Reslted from Tauge Extract Medium

Suci Amaliyah, A. Ghanaim Fasya and Romaidi

Lead (Pb) Analysis in Packaged Candies Using Various Destruction Solution

by Atomic Absorbtion Spectroscophy

Siti Nurul Afifah’, Diana Candra Dewi, A. Ghanaim Fasya, and Rachmawati Ningsih

Phenylalanin and Phenylpiruvate Analysis Using Modified Silica

Identification Reagent

Diana Candra Dewi, M.Si, drg Arief Suryadinata, dr Ana Rahmawati

APPLIED SCIENCE AND TECHNOLOGY

Optimal Control Wind Energy Conversion System: Classical Mppt Vs

Mppt Using Wind Turbulance

Ahmad Nadhir

Characterization of Crystal Structure of Hydrogen Storage Keratin-Mg Using

Rietveld Analysis

Azizah Fii Ahliha, Erna Hastuti

Tannins as Protectans of Protein from Several Source of Feed Materials

Dini Hardini and Siti Istiana

Metallothionein Expression on the Gill of Fresh Water Mussel (Anadonta

woodiana) Exposured Pb Sub Cronic Level

Hartati Kartikaningsih, Asus Maisar Suryanto, Diana Arfiati

Agronomic Changes and Tolerance of Soybean Genotypes to Waterlogged Soil

Ayda Krisnawati, M. Muchlish Adie, and Didik Harnowo

Acclimatize And Propagation Orchid Species In Tissue Culture

Titiek Purbiati and Melia Puspitasari

Recognition of Plate Characters using Morphology and Correlation Coefficient

Bain Khusnul Khotimah, Haryanto, Sigit Susanto Putro

Content

iv Proceeding The 5th International Conference on Green Technology

Design of Brake Lining Pads of Non-Asbestos Composite Materials from

Coconut Coir Fiber and Aluminium Powder as Filler

Eko Marsyahyo, Eko Yohanes S., Yafhed Octavianus, Virginia C.W.

Sugarcane Growth Response to Organic Input and Nitrogen Fertilization on

an Inceptisol with Inoculation of Pontoscolex corethrurus

Nurhidayati and Abdul Basit

Non-Linear Analysis Of Hollow Reinforced Concrete Column Square Cross-

Section With Various Load Eccentricity And Concrete Strength

Pingkan Nuryanti, Djoko Sulityo, Bambang Suhendro

Development of Micro-hydro to Supply Clean Water in The Karangsuko Village,

Malang Districts

Machmud, Irfan, Suwignyo

Evaluation of Resistance of Soybean Genotypes Against Pod Borer, Etiella

Zinckenella Tr. to Support Environmentally Friendly Pest Control

Marida Santi YIB dan Yusmani Prayogo

Study of Free Radicals Absorption in Cigarette Smoke on Biofilter Composite

Membranes Made of Tobacco and Moringo Leaf

Nurun Nayiroh, Erika Rani and Agus Mulyono

The Study of Some Shallot Varieties Production by Liquid Organic Fertilizer

Application

Nurul Istiqomah dan Amik Krismawati

Management Information System for Parking Application With Barcode

Technology

Rika Yunitarini

Rosella Processing Technology Introduction in Supporting Diversification

of Food Product Development in Donomulyo District, Malang Regency

Ita Yustina and Farid R. Abadi

Characteristic of Soybean Maturity and Its Role as Seed Yield Determinant

M. Muchlish Adie, Ayda Krisnawati, and Suyamto

STAR: Story-Telling Augmented Reality for Islamic Childhood Education

Ari Kusumaningsih, Arik Kurniawati

Information System Arrangement for Tree Management of The Green

Lane Road

Bambang Sulistyantara, Prita Indah Pratiwi

Introduction To Increase Rice Production Through Superior New Varieties

of Rice Fieldsin The Madiun Regency

Amik Krismawati and Nurul Istiqomah

Contribution of Environmental Impact Analysis Study (AMDAL) to The

Implementation of Green Development Process

Titien Setiyo Rini, Miftahul Huda, Agus Purwito

ISSN: 2301-4490

Issue: 5/2015 v

Effect of Fertilization in Monoculture and Intercropping Systems of Corn

with Legumes in The Lowland

Zainal Arifin, Indriana RD and Nurul Istiqomah

“Tutup” Flowers ((Macaranga Tanarius (L.) Mull. Arg)) As A Preservative

For Fresh Fish

Fungki Sri Rejeki, Endang Retno Wedowati, and Diana Puspitasari

Study of Soil Tillage and Mulch to Growth of Weed and Yield of Two Soybean

Variety

Zainal Arifin and Indriana RD

Horenso Organic-Aquaponic System Using Fish Metabolism Residue In Various

Planting Media

Cecep Hidayat, Farhan Ferdian Ahmad Taofik, Sofiya Hasani

Product Quality Assessment of Preserved Sweet Potato (Ipoemoea batatas) in

Malang Regency, East Java

Farid R. Abadi dan Ita Yustina

MATHEMATICS AND COMPUTATION TECHNOLOGY

Simulation Model Of Immune System and Mycobacterium Tuberculosis

Infection

Usman Pagalay, Khairul Umam, and Nurhasanah

Stability of Jensen Functional Equation on Restricted Domain

Hairur Rahman, Hilwin Nisa’ and Zukhrufun Nadhifa

An Application of -Cut Fuzzy � − � Control Charts Using Fuzzy Trapezoidal

Number

Fitriatuz Zakiyah, Dia Kusumawati, and Fachrur Rozi

Run Lenght Matrix Feature Extraction and Local Binary Pattern For Face

Expression Recognition

Cucun Very Angkoso

Electronic Data Interchange ForPortal E-Commerce Community By Using

Optimistic And Pesimistic Representational State Transfer

Hermawan and Zamrony Hamzah

Arabic Letters Pattern Recognition Using Web Camera

Totok Chamidy, Ririen Kusumawati

Steganography and Cryptography in Video For Information Security

Wiwin Styorini, Hendrawan

Semantic Web Based Search Engine Using Rabin Karp Algorithms in

Encyclopedia of Indonesian Herbal Medicine

Ludvi Andini and A’la Syauqi

Content

vi Proceeding The 5th International Conference on Green Technology

Immersive Tools Bicycle for Human Heart Health Based on Environment

Green Technology

Muhammad Faisal, Yunifa M. Arif, Fahrul Kurniawan, Fressy Nugroho, Hani

Nurhayati

ARCHITECTURE

Re-Construction of Taneyan Lanjhang: Observe The Meaning of The Settlement

In Madura-Sumenep

Pudji PratitisWismantara

Identification of Important Factors Implementation of Green Construction

Specifications

Miftahul Huda and Titien Setiyo Rini

Stabilization Expansive Soil with Waste of Sand Onyx

Agus Tugas Sudjianto, Candra Adityaand Muhamad Cakrawala

Study on The Benefit of Vertical Greenery on Office Building at DKI Jakarta

(Case Study at Bank BTPN)

Yozi Fitri Yeni, Indung Sitti Fatimah, Pingkan Nuryanti

The Development of Expertise Certification Test Model Based on Regional

Model of Competency Standards (RMCS) and Project Based Learning in

The Board of Development and Construction Services

Tri Kuncoro

Science and Technology In Islamic Perspective: Strengthen National

Resilience and Unity of NKRI (An Appropriate Step by Green and

Multipurpose Terminal Development)

Agung Sedayu

PHARMACY AND MEDICINE

Profile Number of Mice Takizoit after Treatment With Alkaloid Fraction of

Alstonia scholaris Leaves

Abdul Hakim

The Comparison between Ethanol Extract Activity and Ethyl Acetate Pulai

Stem Bark (Alstonia scholaris, (l.) R. Br) as Antitoxoplasmosis

Roudlotul Nadlifah, Begum Fauziyah, Mufasirin

Effectiveness Test on Alkaloid Extract from Pulai Root (alstonia scholaris l.

R.br.) In Increasing the Life of Mice Infected Toxoplasma Gondii Parasite

Q. Rahmawati; Begum Fauziyah; Mufasirin

Proceeding The 5th International Conference on Green Technology; ISSN: 2301-4490; Issue:5/2015

Accepted: November, 2014; Published: 2015

Recognition of Plate Characters Using Morphology

and Correlation Coefficient

Bain Khusnul Khotimah1.a, Haryanto1,b, Sigit Susanto Putro1,c

1Informatics Engineering, Electrical Engineering, Informatics Engineering

Department Trunojoyo University, East Java Indonesia

abainkk@gmail.com, bharyanto_utm@yahoo.com, csigitida@yahoo.com

Keywords: edge detection, segmentation, feature extraction, Adaptive Thresholding.

Abstract. An automatic vehicle identification system can be divided several phases. They are vehicle identification, license plate location, and license plate interpretation. This work focus on the latter phase are the license plate segmentation and character

segmentation. The processed plate segmentation are binerisasi surgery, open-

closemorphology, median filtering, slicing, resizing and normalization. Segmentation

results of license plate tracking object will be done global for reading license

platesautomatically. The approach of the character image with the test results show the

system can recognize as many as 89.1% of vehicle license plate image data. From the test

results of image data obtained license plate number of times that the system can not

recognize some letters. The characters do not get the results it can be said that obtaining

a good image, this is because the sides of the image-level characters have thick is not the

same so as to produce no recognizable characters. Because of these factors affect the

results of the similarity character recognition occurs during the process of feature. Next,

some processes need to be developed so that the feature extraction method is better.

Introduction

Advances in vehicle license plate detection system is urgently needed in today's

modern era, where technology can be seen in many places including the discovery of

technology that are also in the parking lotof motor/carmall or other crowded center. The

technology uses a computer connected to the camera to recognize any number plate

motorcycle/car entering the parking area automatically without human intervention

again to record one by one manually [1]. The use of this new technology caused many

problems arise because the arise of recording the license plate which is done manually by

humans because it takes a long time and sometimes there is some error resulting in long

queues. This research applies image processing to identify the license plate number of

the vehicle. The system should be able to recognize the letters and numbers of characters

contained in the image. The image of a motor vehicle license plate number was captured

using a digital camera, then done segmentation for gain characteristics. The hallmark of

a pattern can be shaped feature vector and the feature vector to be used in the

introduction. In the process of recognition, not all pixels of the object to be recognized is

taken. So it is necessary to apply a method to reduce the pixel to be used as a feature.

This process is known as feature extraction. Then do the matching.

In previous research there are various methods: DTW, Euclidean distance,

Backpropagation, and many more. In a vehicle license plate recognition applications,

there are 2 main processes, namely the number plate on a vehicle tracking and

segmentation of license plate. In 2010 Heikkila M. and Hung, et al conducted a single

object tracking results are based texture features, which were lost due to character

influences image acquisition that affect the production process (Sonka, et al, 2008).

While the background with plate separation algorithm performed smearing algorithm

Bain Khusnul Khotimah, Haryanto, Sigit Susanto Putro

2 Proceeding The 5th International Conference on Green Technology

implementation but these studies suffer from the color of the car used in Indonesian in

general tend to be dark-colored or dark and require the input image with the contrast

between the value of the license plate character is quite large. It is necessary for the

overall segmentation without doing a search one with the license plate location method

Componet Connectted Analysis (CCA). While Kuchi 2011 threshoding compose adaptive

method that modifies the method of separation of background objects by doing a

hypothesis on the value of the image is converted into degrees of gray colored

background pixels and the results can be applied by a colored image .. Plate number is

still a collection of letters that still need to be detected or read by using segmentation

studies generally do local feature extraction for character mmembaca plate by dividing

the characters into block form letters by Rizki, 2010 [12]. Lack of vehicle license plate

segmentation results are still a few characters on the license plate characters are

fragmented or interconnected, so that not all characters can be extracted when filtering

[9-11]. This of course affects the level of success that will be achieved. This study uses

the image of the license plate taken offline with the use of digital cameras. As well as the

characters used in the introduction is the letter (A through Z) capital letters and

numbers (0 to 9). This research will produce a segmentation Seara morphology to

characterize and identify the motor vehicle number plate recognition and to determine

the percentage of accuracy of recognition is done by using the Correlation Coefficient to

measure the success rate of detection of vehicle license plates.

Methods

The approach of methode number plate extraction is represented when this

system vehicle image is acquired through digital camera. The output number plate

images are acquired in different illumination conditions and background. The consists of

following main steps:

1) RGB to grayscale conversion

2) Noise removal by median filtering

3) Morphological opening and image subtraction operation

4) Image binarization

5) Edge detection by sobel operator

6) Candidate plate area detection by morphological opening and closing operations

7) Actual number plate area extraction

8) Enhancement of Extracted plate region.

9) Recognition

Grayscale

Gray scale are the only color in RGB space with components red, green, and blue

have the same intensity. Intensity values for each pixel in the image is in the interval 0-

255 intensity, where as color images need three intensity values are at intervals of 0-255

for each pixel. The closer the value 255, then the degree of gray will be bright. Basically

this process is done by leveling the pixel values of the three RGB values in to one value.

But because the three primary colors are considered non-uniform in terms of ability to

contribute to the brightness, some have argued thata more appropriateway

ofconversionis to use equation (1) [3]:

Y = 0.299R + 0.587G + 0.114B (1)

Recognition of Plate Characters Using Morphology and Correlation Coefficient

Issue: 5/2015 3

Median Filter

Median filter is an operation replaces the pixel values of the image with the

median value or the median of its neighboring pixels and Pikes itself. This filter is very

effective to eliminate the type of salt and pepper noise and also the impulse while and

retaining image detail because it is not dependent on the values that are common in the

environment

Segmentation

Segmentationvehicle number plateis an important processin thelicense

platerecognition system. This process will determine the success of the output of the

recognition system, because of the input image with a complex background, the system

must be able to determine the where about s or the location of the number plate on a car

Morphology Image

The morphology of digital images is a way to analyze or describe the form of

digital objects [3]. In general, the purpose of morphological operations on binary image is

to improve the shape of the object in order to generate features that are more accurate

when the analysis was performed. So the morphological operations are not operations

that have the purpose of analysis, but rather an operation that aims to facilitate the

analysis to be performed on the object. Morphological operations are used in research

that is closing that is a combination of erosion and dilation operations are performed in

sequence, and the opening of which is a combination of erosion and dilation operations

are performed in sequence

Thresholding

Operation binerisasi, i.e. segmentation of a gray scale image to produce a binary

image. Binerisasi process requires a threshold value (T), the process of finding the

threshold value is called thresholding image.

Edge detection

Edge detection is a set of connected pixels that lie on the boundary between two

regions [4]. Edge is characterized by sudden changes in the intensity values or large

within a short distance. Tracking edge is basically an operation to find a different

intensity changes in an image. Edges characterize object boundaries and are there fore

useful for edge segmentation and identification of objects in the image. The purpose of

edge detection is to improve the appearance of the boundary line of an area or object

within the image.

Segmentation of plate area extraction

Analysis of character segmentation stage filtration process is a binary image of an

object. Filtering can be done by doing the calculations to determine the extent of the area

of an object that has been labeled. An object can consist of a collection of objects

connected to each other, therefore, the object can be calculated extent of its constituent

area, so that the calculation of the area can be used as a filter to remove the existing

noise in the images or classify objects needed in the process of recognition.

Bain Khusnul Khotimah, Haryanto, Sigit Susanto Putro

4 Proceeding The 5th International Conference on Green Technology

Recognition Correlation Coefficient

This research method is used for character recognition process, which is used to

measure the speed of change in the correlation between the pixels of the two images.

Correlation coefficient method to indicate the opposing images of each other (distance B)

and a value of 1 indicates the same images (distance A). The correlation between x and y

image. Image correlation is useful for finding pieces of other images in a larger picture.

This method is more traditional than the approach using a prototype vector. 2 pieces of

an image f(x,y) and w(x,y). For each value of (x,y) say (x0,y0) in fungs if, then the above

correlation equation produces a value c because the values of x and y vary, then move

the drawing area wf. This level of accuracy will be reduced if the value of x and make in

approaching a border f. Correlation function has adeficiency in broad changes in f. The

correlation coefficientexpressedthe degreeof similarity between twosignals. If the two

images f(x,y) and g(x,y), the correlation coefficient between the two is for example if all

the f value is double d, then the value of c (x, y) will be the second time. To over come

these short coming score relation coefficient method can be used as follows:

for = 0,1,2, . . . , − 1, = 0,1,2. . . . . . − 1. Where f and g respectively the average value

of the degree of gray pixel image f(x,y) and g(x,y). In this research, the gray scale

correlation of each image pixel by pixel without scatter in g media image which

scattering. Input image data in the process of character recognition, namely the image

segmentation results of each character in the form ofa binary image.

Result Segmentation

Image Acquisition

The proses acquire to input image of vehicle. Image is acquired by digital camera

which taken in different illumination conditions and various distances from the camera.

Fig. 1.Result shows the input vehicle image.

Fig. 1. Input Image

Image Binarization

The In basic aim of preprocessing is to improve the contrast of the input image.

The process of preprocessing RGB image is converted into gray level image and then into

binary image. Median filter are used to remove noise and distortion from the input

image. So, The noise can occur during camera capturing and weather conditions. The

mechanism for noise reduction while preserving edges more effectively than median

Recognition of Plate Characters Using Morphology and Correlation Coefficient

Issue: 5/2015 5

filter. And the result of applying median filter on gray scale image is shown in Fig. 2.So,

after the operation of subtracted gray scale image will be converted into binary image.

Then, threshold level is used by Otsu's method. The threshold level of image according

converted into black and white image by using function im2bw. Fig. 2 shows binarized

image.

Fig. 2. Shows binarized image.

Opening and Closing Operations

Vertical edge is used to detect plate by sobel operator. Next, the proposed location

plate will be used morphological operations the unwanted objects in the image are

removed. In detection of candidate plate area, firstly dilation operation is represented on

sobel edge detected image and after this holes are filled by using MATLAB functionwith

“imfill”. The result of applying dilation operation and filling holes is shown in Figure 3.

Fig 3. Morphological Dilation Operation

In Figure 4 the image of the license plates of vehicles that already are binary will

undergo a process of filtering using opening-closing and median filter. This filtering

process is done in order to remove noise and smooth the image. With the opening-closing

operation beforehand in the image, it will get the image with reduced noise, and

minimize the big noise that can not be removed by median filtering directly. By doing

these two filtering operations, we will get a much cleaner image than noise.

Bain Khusnul Khotimah, Haryanto, Sigit Susanto Putro

6 Proceeding The 5th International Conference on Green Technology

Fig. 4. Morphological Opening and Closing

Then morphological opening and erotion operations are used for exact detection of

candidate plate area. Candidate Plate Area detection by Morphological to found box

license plate segmentation output with thinning process by Zhang-Shuen algorithm. The

approach methode to attenuate the image with the aim of taking a writing frame so it

can be more easily in its extraction, the results corresponding to Figure5.

Fig. 5. Plate Region

Experiment Result

Recognition with UsingCorrelationCoefficient

This proposed approach for number plate extraction to foundcharacter. At this

stage itwill produceanimage containinga singlecharacter(number or letter) witha

uniform sizeof 20x11pixels. In theprocess of changingthe size(resizing), the method

usedis thenearest neighborinterpolation. Inthisinterpolation, the grayvalueof apixel

point is taken from the gray value at the point closest to the origin of coordinates on the

calculation of the spatial transformation.

Each ofthetrainingwill be conductedwith theintroduction ofthe principle

ofdetermining thedegree of similarity (similarity degree) or inequality (dissimilarity

degree) twocharacteristicvectors. The degree of similarityin the form ofa value andthat

valueis based ontwocharacteristicvectorsarevectorsof reference andtest vectorscan besaid

to be similarornot. The correlation coefficientis a reduction inthe value ofthe coordinates

ofthemean value. Its valuebetween-1and+1. The correlation coefficientto calculatethe

similarityvaluecompared toinequality. Sothe higher the valueindicatesthatthe more

similarto thetwovectors. Testing thelicense plateimageforas much as70 piecesof test

Recognition of Plate Characters Using Morphology and Correlation Coefficient

Issue: 5/2015 7

dataandtraining dataas many as50 pieceswill be testedin the identificationof theimage

ofthe license platesof motorcycles. Here arethe overallresultsfor theintroduction ofthe

test data. Figure6 and Table 1.

Fig 6. Results test of data identified a number plate number

Table. 1

Result of Proposed Number Plate Extraction Approach

No. Plate Number Result

Identified

1 L5430RG W596ZVU

2 M4550EF M45S0EF

3 M3928BH M3928BH

4 L2801HK L2801HK

5 AG3425F AG3425F

6 L8383S L8383S

7 S 3124 TM S 3124 TM

8 M2384EF M23B4EF

9 M2345GH M2345GH

10 MI223EL MI223EL

Character recognitiontestingis also doneon350samples ofthe imagetodetermine

the level ofawarenessof the obtainedresultsoftestingthe character recognition isshownin

Table4.

Table 2.

Result recognition character

Sample letter Success Failed

312 280 letter 32 letter

Prosentage 89,7% 10,3%

The license plate detection system showed a system that has been designed is

going well according to expectations of making the system as desired. But, there are

several factors that strongly influence the results of the introduction of errors in the

image of the number plate. Factors affecting errors license plate image recognition

results as follows:

1. Brightness In image acquisition, the captured image is possible not to have the right

level of brightness and thus greatly affect the maximum Determination threshold

value (threshold) when changes in the license plate image to binary image.

2. The slope of the resulting image of the characters in the license plate image capture

Bain Khusnul Khotimah, Haryanto, Sigit Susanto Putro

8 Proceeding The 5th International Conference on Green Technology

is not exactly perpendicular but has a certain angle, causing the characters in the

image becomes skewed. Because it is this which allows the introduction of errors in

the character image.

3. The characters do not get the results it can be said that obtaining a good image, this

is because the sides of the image-level characters have thick / thin is not the same so

as to produce no recognizable characters. Because of these factors affect the results

of the similarity character recognition occurs during the process of feature

extraction as due to a lack of appropriate Are Some processes need to be developed

so that the feature extraction method is better.

Conclusion

The proposed method is mainly designed for Indonesian plate. The result

extraction process are well for low resolution, noisy and low contrast images In Phase

Character Segmentation can behandle almost the entire image can be segmented license

plate. The approach of the character image with the test results show the system can

recognize as many as 89.1% of vehicle license plate image data. From the test results of

image data obtained license plate number of times that the system can not recognize

some letters. Such errors can occur due to several factors including writing license plates

that have been tested.

Acknowledgment

The authors would like to thank LPPM Trunojoyo University and The Ministry of

DIKTI. They who have given financial support of this research funding program PHB.

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Recognition of Plate Characters Using Morphology and Correlation Coefficient

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Participants List

The 5th International Conference on Green Technology

7th – 8th November, 2014

No. Name Institution Email

1 A. Ghanaim Fasya Kimia UIN Maulana Malik

Ibrahim Malang

fasya.organik.uinmalang@

gmail.com

2 Abdul Hakim Pharmacy Departement UIN

Maulana Malik Ibrahim Malang ahrizfit@gmail.com

3 Agus Tugas Sudjianto Widyagama of University ats_2003@yahoo.com

4 Ahmad Nadhir Brawijaya University anadhir@gmail.com

5 Ainur Rofieq

Biology Education Department,

University of Muhammadiyah

Malang

ainurrofieq@yahoo.co.id

6 Akira Kikuchi , Assoc.

Prof. UTM, Malaysia

7 Akyunul Jannah

Department of Chemistry,

Islamic State University of

Maulana Malik Ibrahim of

Malang

akyunul_jannah2008@yahoo

.com

8 Ala Syauqi UIN Maulana Malik Ibrahim

Malang asakuuki@yahoo.co.id

9 Amik Krismawati

Assessment Institute for

Agricultural Technology, East

Java

krismawati_amik@yahoo.co

m

10 Amik Krismawati

Assessment Institute for

Agricultural Technology, East

Java

krismawati_amik@yahoo.co

m

11 Anggita R. Hafsari

Departement of Biology, Faculty

of Science and Technology, UIN

Sunan Gunung Djati

anggitarahmi@uinsgd.ac.id

12 Anny Yanuarti Fakultas Pertanian Universitas

Sriwijaya annyyanuriati@yahoo.com

13 Ari Kusumaningsih Universitas Trunojoyo arikusuma@if.trunojoyo.ac.

id

14 Arif Muntasa Trunojoyo University of Madura arifmuntasa@if.trunojoyo.ac.

id

15 Arik Kurniawati Universitas Trunojoyo ayyiik@yahoo.com

16 Asep Supriadin

Deparment of Chemistry, Faculty

Science and Technology, UIN

Sunan Gunung Djati Bandung

17 Aulia Fikriarini

Muchlis

UIN Maulana Malik Ibrahim

Malang fikriarini@gmail.com

18 Ayda Krisnawati

Indonesian Legumes and Tuber

Crops Research Institutes

(ILETRI)

my_ayda@yahoo.com

19 Azizah Fii Ahliha UIN Maulana Malik Ibrahim

Malang sjamsularifin.sa@gmail.com

20 Bagus Setiawan Biologi Department, UIN Maliki

Malang bagong_gus@yahoo.co.id

21 Bain Khusnul

Khotimah Universitas Trunojoyo bainkk@gmail.com

Participants List

Proceeding The 5th International Conference on Green Technology

No. Name Institution Email

22 Bambang

Sulistyantara Bogor Agricultural University bbsulistyantara@yahoo.co.id

23 Bayyinatul

Muchtarromah

UIN Maulana Malik Ibrahim

Malang bayyinatul_uin@yahoo.co.id

24 Cahyo Crysdian UIN Maulana Malik Ibrahim

Malang cahyo@ti.uin-malang.ac.id

25 Cecep Hidayat

Agrotechnology Departement

Faculty of Sceince and

Technology UIN Sunan Gunung

Djati Bandung

cephidayat62@uinsgd.ac.id

26 Cucun Very Angkoso Trunojoyo University cucunvery@if.trunojoyo.ac.id

27 Dede Sukandar UIN Syarif Hidayayullah

Jakarta

28 Desy Maulina UIN Maulana Malik Ibrahim

Malang

29 Diana Chandra Dewi

Department of Chemistry,

Islamic State University of

Maulana Malik Ibrahim of

Malang

dayanasidi@yahoo.com

30 Dini Hardini

Assesment Institute for

Agricultural Technology, East

Java

siti_istiana2@yahoo.com

31 Dwi Putri Woro

Pamungkas

UIN Maulana Malik Ibrahim

Malang putri9.pp@gmail.com

32 Dwi Suheriyanto UIN Maliki Malang dan Program

Doktor Biologi UB

dsuheriyanto@bio.uin-

malang.ac.id

33 Eko Marsyahyo Institut Teknologi Nasional

Malang marsyahyo@yahoo.co.uk

34 Eko Murniyanto Agricultural Faculty, Trunojoyo

University of Madura

35 Elis Ratna Wulan

Department of Mathematics,

Islamic States University Sunan

Gunung Djati of Bandung

elisrwulan@yahoo.com

36 Elok Kamilah Hayati UIN Maulana Malik Ibrahim

Malang eloksunardji@yahoo.com

37 Ernaning Setiyowati UIN Maulana Malik Ibrahim

Malang ninkarch99@yahoo.com

38 Evika Sandi Savitri UIN Maulana Malik Ibrahim

Malang evikasandi@yahoo.com

39 Fachrur Rozi UIN Maulana Malik Ibrahim

Malang fachrurkibar@gmail.com

40 Farid R. Abadi

Assessment Institute for

Agricultural Technology of East

Kalimantan

farid_ra98@yahoo.com

41 Feni Tunarsih Bogor Agricultural University gayuhrahayu@gmail.com

42 Fitriatuz Zakiyah UIN Maulana Malik Ibrahim

Malang

43 Fungki Sri Rejeki

Program Studi Teknologi

Industri Pertanian Universitas

Wijaya Kusuma Surabaya

fungki_sby@yahoo.com

Participants List

Issue: 5 / 2015

No. Name Institution Email

44 Furqon Al Muzakki State Islamic University of

Maulana Malik Ibrahim Malang

Furqon_almuzakki@yahoo.

com

45 Hafsan UIN Alaudin Makasar hafsahbio@yahoo.com

46 Hilwin’ Nisa UIN Maulana Malik Ibrahim

Malang azzami09hadza@gmail.com

47 Hartati

Kartikaningsih Brawijaya University

hartatikartikaningsih@gmai

l.com

48 Hary Widjajanti,

Biologi Department,

Mathematics and Natural

Science, Sriwijaya University

haryunsri@yahoo.com

49 Hermawan Trunojoyo University

hermawan.unijoyo@yahoo.co

.

id

50 I Dewa Ayu Ratna

Dewanti

Department of Biomedic Faculty

of Dentistry - Jember University.

Indonesia

dewadewanti@yahoo.com

51 Ida Kinasih

Department of Biology, Faculty

of Scince and Technology, UIN

Sunan Gunung Djati Bandung

idakinasih@uinsgd.ac.id

52 Indah Agustien

Siradjuddin University of Trunojoyo Madura

indah.agustien@if.trunojoyo.

ac.id

53 Ita Yustina

Assessment Institute for

Agricultural Technology of East

Java

ita_yustina_best@yahoo.com

54 Kuntoro Boga Andri BPTP East Java, IAARD kuntoro_boga@yahoo.com

55 Liliek Harianie UIN Maulana Malik Ibrahim

Malang

56 Liliek Harianie

Centre for Biotechnology

Development, University of

Muhammadiyah Malang

57 Linda Salma Angreani UIN Maulana Malik Ibrahim

Malang linda@uin-malang.ac.id

58 M. Imron Mustajib University of Trunojoyo Madura imron_mustajib@yahoo.co.id

59 Machmud Effendi University of Muhammadiyah

Malang machmud@umm.ac.id

60 Mamik Setyowati icabiograd dianpbt11@yahoo.com

61 Marida Santi YIB Indonesian Legumes and Tuber

Crops Research Institute santi4_nov@yahoo.co.id

62 Miftahul Huda

Department of Civil Engineering,

Faculty of Engineering UWKS

Surabaya

huda.uwks@gmail.com

63 Mochammad Kautsar

Sophan University of Trunojoyo Madura kautsar@if.trunojoyo.ac.id

64 Mochammad Muchlish

Adie

Indonesian Legumes and Tuber

Crops Research Institutes

(ILETRI)

mm_adie@yahoo.com

65 Mochammad Wakhid University of Muhammadiyah

Malang

66 Mokhamad Tirono UIN Maulana Malik Ibrahim

Malang

Participants List

Proceeding The 5th International Conference on Green Technology

No. Name Institution Email

67

Muhammad Abdul

Kadir Martoprawiro,

PhD

Himpunan Kimia Indonesia

68

Munir Ozturk, Prof.

Ege University, Turkey

69 Munirul Abidin UIN Maulana Malik Ibrahim

Malang

70 Muhammad Faisal UIN Maulana Malik Ibrahim

Malang akhifai@gmail.com

71 Nani Radiastuti

Biology Department, Faculty of

Mathematics and Natural

Sciences, IPB, Indonesia

n_radiastuti@yahoo.com

72 Nova Purnama Lisa Malikussaleh University nova.ars22@gmail.com

73 Nurhidayati Agriculture Faculty, Islamic

University of Malang nht_unisma@yahoo.com

74 Nurul Istiqomah BPTP East Java, IAARD

75 Nurun Nayiroh UIN Maulana Malik Ibrahim

Malang nayiroh@gmail.com

76 Nurwidodo Universitas Muhammadiyah

Malang nurwidodo88@yahoo.com

77 Pingkan Nuryanti Bogor Agricultural University pingkan_nuryanti@yahoo.co

m

78 Prima Aswirna

State Institute of Islamic Studies

Imam Bonjol Padang, West

Sumatra

primaaswirna1971@yahoo.

com

79 Prima Retno

Wikandari

Chemistry Deparment, Faculty of

Mathematic and Natural Science,

State University of Surabaya

wikandari@yahoo.com

80 Pudji Pratitis

Wismantara

Arsitek UIN Maulana Malik

Ibrahim Malang vismantara@yahoo.co.id

81 Qorry Aulya Rohmana Universitas Muhammadiyah

Malang aulyano@gmail.com

82 Ragapadmi

Purnamaningsih

Indonesian Center for

Agricultural Biotechnology and

Genetic Research and

Development

raga_padmi@yahoo.com

83 Rahmawati, Q; Pharmacy Departement UIN

Maulana Malik Ibrahim Malang bhefha@gmail.com

84 Ramadhani Eka Putra

School of Life Sciences and

Technology-Insitut Teknologi

Bandung

ramadhani@sith.itb.ac.id

85 Ratri Tri Hapsari

Indonesian Legumes and Tuber

Crops Research Institute,

Malang, Indonesia

ratri.3hapsari@gmail.com

86 Rika Yunitarini Trunojoyo University rika_yunitarini@yahoo.com

87 Rima Tri

Wahyuningrum University of Trunojoyo Madura rima_tw@yahoo.co.id

88 Riyanto IKIP Budi Utomo Malang ryn_kebo@yahoo.com

89 Rizqi Munandhar UIN Maulana Malik Ibrahim

Malang

rizqimunandharssi@gmail.c

om

Participants List

Issue: 5 / 2015

No. Name Institution Email

90 Roikhan Mochamad

Aziz

State Islamic University, Syarif

Hidayatullah, Jakarta rma7114@gmail.com

91 Romaidi UIN Maliki Malang dan

Univeristas Hiroshima romaidi_06@yahoo.com

92 Roudlotul Nadlifah Pharmacy Departement UIN

Maulana Malik Ibrahim Malang bhefha@gmail.com

93 Saleh Hidayat Universitas Muhammadiyah

Palembang saleh_UMP@yahoo.com

94 Siti Mar’atush Sholihah

Department of Biology, UIN

Maulana Malik Ibrahim Malang maratushqueen@ymail.com

95 Siti Nurul Afifah

Department of Chemistry,

Islamic State University of

Maulana Malik Ibrahim of

Malang

dayanasidi@yahoo.com

96 Suci Amalia UIN Maulana Malik Ibrahim

Malang Amel_kimiaa@yahoo.com

97 Suci Amaliyah UIN Maulana Malik Ibrahim

Malang

98 Sukir Maryanto

Dept. of Physics, Faculty of

Sciences, University of

Brawijaya, Malang, Indonesia

99 Suma Inna UIN Jakarta suma.inna@uinjkt.ac.id

100 Sumartini Indonesian Legumes and Tuber

Crops Research Institute sumartiniputut@yahoo.co.id

101 Surya Diantina icabiograd dianpbt11@yahoo.com

102 Sutini

Agrotechnology Department of

Agriculture Faculty UPN

”Veteran” East Java

tien_basuki@yahoo.com

103 Tarranita

Kusumadewi

UIN Maulana Malik Ibrahim

Malang tarra_nita@yahoo.com

104 Tati Budiarti Bogor Agricultural Institute tatibudiarti2@gmail.com

105 Tatsuya Ueki, Prof. Hiroshim University, Japan

106 Titiek Purbiati

Assesment Institute for

Agricultural Technology, East

Java

purbiati_titiek@yahoo.com

107 Titien Setiyo Rini

Department of Civil Engineering,

Faculty of Engineering UWKS

Surabaya and Enviromental

Engineering Doctoral

Programme, University of

Brawijaya

titien.rini@gmail.com

108 Totok Chamidy UIN Maulana Malik Ibrahim

Malang to2k2006@gmail.com

109 Tri Kuncoro FT, Civil Engineering

Competitive Grants trikuncoro844@yahoo.co.id

110 Umie Lestari

Faculty of Mathematics and

Natural Science

Malang State University

umie_lestari09@yahoo.com

111 Usman Pagalay UIN Maulana Malik Ibrahim

Malang usmanpagalay@yahoo.co.id

112 Wiwin Styorini Politeknik Caltex Riau wiwin@pcr.ac.id

Participants List

Proceeding The 5th International Conference on Green Technology

No. Name Institution Email

113 Wiwit Rahajeng

Indonesian Legumes and Tuber

Crops Research Institute

(ILETRI)

Malang

wiwit.rahajeng@gmail.com

114 Yozi Fitri Yeni

Department of Landscape

Architecture, Bogor Agricultural

University

indungsittifatimah@gmail.

com

115 Zainal Arifin

Assessment Institute for

Agricultural Technology, East

Java

arifin_bptpjatim@yahoo.co.

id