Abstract : Handwritten Signature Verification is a b road area. It has been broadly researched in the last decades but there is an open research problem. There are so me possibilities to improve the results. To achieve better results we propose a new handwritten offline signature system. The non-repetitive nature of variation of t he signature,because of age and illness this is the l imitation of existing system. To overcome this limitation this n ew system is design. Signature having own psychology o r behavior characteristics using that we will propose system to find nature and current psychology of signature person in offline. Different features are extracted from offline signature for comparison. One-class SVM (Support Vector Machine) classifier is used for classification of signature. Signature is genuine or forged one to classify that OCSVM (One-Class Support Vector Machine) used.

Pages :

Downloads : 1366

Publication Date :

Modified Date : 2016-01-30

Cite/Export :

Mrs. Rutuja M. Shinde , Nagraj V. Dharwadkar , "ENHANCED SCHEME FOR HANDWRITTEN OFFLINE SIGNATURE VERIFICATION", IJIERT - International Journal of Innovations in Engineering Research and Technology, ICCCES-16, ISSN : 2394-3696, Page No.