IJRIT International Journal of Research in Information Technology, Volume 1, Issue 5, May 2013, Pg. 65-73

International Journal of Research in Information Technology (IJRIT)

www.ijrit.com

ISSN 2001-5569

Online Signature Verification using PCA and Neural Network 1

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Jyoti Bhalla

Student, MTech , Department of Information Technology, Guru Gobind Singh Indraprastha University, Delhi

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[email protected]

Abstract The purpose of this paper is to study about the use of distinctive anatomical biometric characteristic- Signature for automatically recognizing individuals. Biometric techniques have been used for personal identification in the past. Various identification methods include iris, retina, face, fingerprint, and signature-based identification. The nonvision based techniques include face recognition, fingerprint recognition, iris scanning and retina scanning and the vision-based ones include voice recognition and signature verification. Signature has been a distinguishing feature for person identification because of its ease of acceptance by the public, and lower implementation cost. Signature verification can be applied in commercial fields such as E-business, which includes online banking transactions, electronic payments, access control, and so on. In this paper Online signature recognition and verification using Neural Network is proposed. PCA is used to extract features used for training the network. A verification stage includes applying the extracted features of test signature to a trained neural network which will classify it as a genuine or forged.

Keywords: Biometrics, Online signature, PCA, Neural Network.

Full text: https://sites.google.com/site/ijrit1/home/V1I521

IJRIT

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