Teaching Learning and Evaluation : NAAC Perpsectives

Rajmohan PardeshiAsst. Prof. in Comp. Sci.

KASCC, Bidar, Karnataka, India

rajmohanji@hotmail.com 8050202281

IQAC Cluster India National Webinar on New Accreditation Framework

Outline

● Introduction and

Motivation

● Softbiometric Traits

● Some Recent

Problems

● Databases

● Case Studies

● Conclusion

Vedic

Chintan, Manan &

Nidhidhyasan

10

Century

Buddisht/Jain

2009-10

Surveillance

Cameras

2014-15

Smarthphones

2020---

Un-manned Arial

Vehicles

Histrocial Background

The beginnings of soft biometrics science were laid

by Alphonse Bertillon in the19th century, who firstly

introduced the idea for a personal identification

system based on biometric, morphological and

anthropometric determinations.

First AK Jain in 2004 introduced

the term Soft-Biometric

It is then further refined in 2010

by Antitza Dantcheva

Defining the Soft Biometric

Soft biometric traits as characteristics that provide some information about

the individual, but lack the distinctiveness and permanence to sufficiently

differentiate any two individuals. ( AK Jain et al. 2004)

Soft biometric traits are physical, behavioral or adhered human

characteristics, classifiable in pre–defined human compliant categories.

These categories are, unlike in the classical biometric case, established

and time–proven by humans with the aim of differentiating individuals.

(Antitza Dantcheva et al. 2010)

Soft Biometric

Traits

Soft Biometric From Selfie

Ajita Rattani, Reza Derakhshani and Arun Ross” Introduction to Selfie Biometric, In Selfie Biometrics Advances

and Challenges , Springer Series in ACVPR, ISBN 978-3-030-26972-2, pp. 1-12 , 2019.

Soft Biometric From Handwriting

Figure Source : Morera, Angel & Sánchez, Ángel & Vélez, Jose & Moreno, Ana. (2018). Gender and

Handedness Prediction from Offline Handwriting Using Convolutional Neural Networks. Complexity.

2018. 1-14. 10.1155/2018/3891624.

Soft Biometric Extraction From Indian Speech

Accent

Age

Gender

Dialect

Native Speaker

Child Soft Biometric

Figure Source : Iftikhar, Ayesha, Rehan Ashraf, Asim Saeed, Srinivas Alva, and Rajmohan Pardeshi.

"Automatic Gender Identification from Children Facial Images Using Texture Descriptors."

In Recent Trends in Signal and Image Processing, pp. 43-52. Springer, Singapore, 2019.

Soft Biometric Extraction from Latent Fingerprint

Figure Source : A. Sankaran, T.I. Dhamecha, M. Vatsa, and R. Singh, On Matching Latent to Latent

Fingerprints, In Proceedings of International Joint Conference on Biometrics, 2011.

Soft Biometric for Drone Based Surveillance

Figure Source : Kalra, Isha et al. “DroneSURF: Benchmark Dataset for Drone-based Face

Recognition.” 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG

2019) (2019): 1-7.

Databases

Handwriting Databases

•IAM handwritten database ( University of Bern, Switzerland)

•KHAT Database (King Fahd University of Petroleum & Minerals (KFUPM)

Selfie Face Databases

•CSIP

•MICHE

•MODBIO

•INACAP-database

Juan Tapia et al. Sex-classification from Cell phones Periocular Iris Images,

Springer Nature Switzerland AG 2019. Rattani et al. (eds.), Selfie Biometrics, Advances

in Computer Vision and Pattern Recognition,

Children Face Dataset

NUTPK Child Face Database ( National University of Textiles, Pakistan)

Case Study : Gender Identification from Children using

Face

Face Detection and

Normalization using FEI

Tool

Boy

Girl

Pre-processing Feature Extraction

Classification

Results

Demo : Deep Learning Based

Gender Identification of Child

using Ocular Region

Find more about Soft Biometric

Special Issue on Soft Biometric, Pattern Recognition

Letters, 2015

First Workshop on Soft Biometrics 2014

EURASIP Journal on Image and Video Processing special

issue on “Soft Biometrics: Extraction and Applications

based on Images and Videos” 2015

Wikpedia of Biometrics, Nandakumar K., Jain A.K. (2015)

Soft Biometrics. In: Li S.Z., Jain A.K. (eds) Encyclopedia of

Biometrics. Springer, Boston, MA

Ongoing Research at

our Lab

for collaboration write

us @ rajmohanji@hotmail.com

● Forensic Document Image

Analysis

● Miscoscopic Image Analyis

for Ecological Applications

● Indian Currency Note

Recongtion

● Soft Biometric Extraction

from various modalities

Open Question

● Lot of Research is going on

in and around context of

Foreign Countires, being

one of largest biometric

system UDAI ( Adhaar) in

the world are we working

for our country?

● Chinese work for China,

Japanese work for Japan if

we dont for India who will

work...?

References

A.K. Jain, S.C. Dass, and K. Nandakumar. Soft biometric traits for personal recognition

systems. In Proceedings of ICBA, pages 1–40. Springer, 2004.

. H.T.F. Rhodes. Alphonse Bertillon: Father of scientific detection. Pattern Recognition

Letters, 1956.

Dantcheva, A., Velardo, C., D’Angelo, A. et al. Bag of soft biometrics for person identification. Multimed Tools

Appl 51, 739–777 (2011).

Ajita Rattani, Reza Derakhshani and Arun Ross” Introduction to Selfie Biometric, In Selfie Biometrics

Advances and Challenges , Springer Series in ACVPR, ISBN 978-3-030-26972-2

Thank You