IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Online Signature Verification System using DRT,DCT and K-NN Classifier


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International Journal for Innovative Research in Science & Technology
Volume 3 Issue - 1
Year of Publication : 2016
Authors : Kajal Sanjay Khabiya ; Lalit Vijay Sonawane; Sagar Sanjay Sonawane; Tanuja S. Sali

BibTeX:

@article{IJIRSTV3I1015,
     title={Online Signature Verification System using DRT,DCT and K-NN Classifier},
     author={Kajal Sanjay Khabiya, Lalit Vijay Sonawane, Sagar Sanjay Sonawane and Tanuja S. Sali},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={1},
     pages={22--27},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I1015.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Abstract:

The paper presents an effective method for "Online Signature Verification System". For feature extraction we use Discrete Radon Transform (DRT) and Discrete Cosine Transform (DCT). K-Nearest Neighbor Classifier(K-NN) is used as a classification technique which classifies the test signature as genuine of forged. Experimental results obtained on our signature database proves that Discrete Cosine Transform (DCT) works better than Discrete Radon Transform(DRT) and gives high accuracy level to the system.

Keywords:

Pre-processing, Discrete Radon Transform(DRT), Discrete Cosine transform (DCT), K-Nearest Neighbor (K-NN) Classifier
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