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Designing and Making Designing and Making Application To Recognize Application To Recognize
Signatures Using Signatures Using BackpropagationBackpropagation
Ronny Harianto26406037
BackgroundBackgroundSignatures can be interpreted as one form of
identification.Every people have different signatures, because their
intensity level, writing style, and proportion.Because they have unique signatures, then I make an
application to recognize the signatures.
TheoryTheoryThresholding
Thresholding is a process to change the value pixel of the image to 0 and 255(bi-level image).
Noise Reduction Noise Reduction is use to clean the image from noise
which has form of point.Segmentation
Segmentation is use to retrieve the required object from the image.
TheoryTheoryWidth Normalization
Width nomalization is use to uniform the size of image.
Thinning Thinning is used to retrieve a structure from image.
Region Region is used to convert an image to a value that
can be read by backpropagation Image is divide into 12 regions
TheoryTheoryBackpropagation
Backpropagation is the one of the learning algorithm in artificial neural network.
Learning process is done by adjusting the weight of the artificial neural networks with backward direction based on the error value in the learning process.
Design System And ApplicationDesign System And Application
Process Image FormProcess Image Form
Training FormTraining FormLearning Rate
Jumlah hidden layer
Jumlah hidden node tiap layer
Training Now
Epoch
SSE
Recognize FormRecognize Form
Original Image Process è Result Image
RecognizeBrowse
Result for signatures drilledResult for signatures drilledWith 10 hidden layer on first layer (90%)
Nama Jumlah sampel yang dikenali Jumlah sampel yang tidak dikenali
Persentase Keberhasilan
David 45 5 90%
Ivan 47 3 94%
Merlina 45 5 90%
Nyoto 38 12 76%
Riky 44 6 88%
Ronny 46 4 92%
Yohanes 50 0 100%
Result for signatures drilledResult for signatures drilledWith 20 hidden layer on first layer (94.8571%)
Nama Jumlah sampel yang dikenali Jumlah sampel yang tidak dikenali
Persentase Keberhasilan
David 47 3 94%
Ivan 50 0 100%
Merlina 49 1 98%
Nyoto 45 5 90%
Riky 45 5 90%
Ronny 46 4 92%
Yohanes 50 0 100%
Result for signatures wasn’t drilledResult for signatures wasn’t drilledWith 10 hidden layer on first layer (94.2857%)
Nama Jumlah sampel yang dikenali Jumlah sampel yang tidak dikenali
Persentase Keberhasilan
David 5 0 100%
Ivan 5 0 100%
Merlina 5 0 100%
Nyoto 4 1 80%
Riky 5 0 100%
Ronny 4 1 80%
Yohanes 5 0 100%
Result for signatures wasn’t drilledResult for signatures wasn’t drilledWith 20 hidden layer on first layer (94.2857%)
Nama Jumlah sampel yang dikenali Jumlah sampel yang tidak dikenali Persentase Keberhasilan
David 5 0 100%
Ivan 5 0 100%
Merlina 5 0 100%
Nyoto 4 1 80%
Riky 5 0 100%
Ronny 4 1 80%
Yohanes 5 0 100%