Abstract

Signature is one of the most widely accepted personal attributes for identity verification. Signature verification is a scheme to verify cheque for bank security. So, this system is proposed as the off line handwritten signature verification system for the bank cheque image processing. In any offline signature verification system, feature extraction stage is the most vital and difficult stage. In this system, sobel gradient operator is used to extract signature features. After extracting features, this system performs the verification process by using k nearest neighbor KNN classifier. This system supports the security about the bank processing by verifying user signature from the bank cheque. Soe Moe Myint | Moe Moe Myint | Aye Aye Cho "Handwritten Signature Verification System using Sobel Operator and KNN Classifier" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27825.pdfPaper URL: https://www.ijtsrd.com/engineering/computer-engineering/27825/handwritten-signature-verification-system-using-sobel-operator-and-knn-classifier/soe-moe-myint

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