Optimizing Handwritten Signature Verification
- Prajapati Pravin
- Viral Borisagar
off line signature verification , SVM
Abstract –
Signature recognition is probably the oldest biometrical identification method, with a high legal acceptance. Verification can be performed either Offline or Online based on the application. Online systems use dynamic information of a signature captured at the time the signature is made. Offline systems work on the scanned image of a signature. We have worked on the Offline Verification of signatures. In proposed method we have tried to reduce requirement of large number of genuine sample for training by using more common feature of signer like signature area ,signature height to width ratio, distribution of pixel, lbp, optical flow . I have use support vector machine for classification of signature into genuine or forged.
Prajapati Pravin, Viral Borisagar. "Optimizing Handwritten Signature Verification".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.1054-1056, URL :https://rjwave.org/ijedr/papers/IJEDR1502182.pdf
Volume 3 Issue 2
Pages. 1054-1056
