Offline Handwritten Signature Verification using Ne ural Network

Authors

  • Pallavi V. Hatkar Department of Electronics Engineering, TKIET Warana, India
  • Prof.B.T.Salokhe Department of Electronics Engineering, TKIET Warana, India
  • Ashish A.Malgave Department of Electrical Engineering, AMGOI Wathar, India

Keywords:

Neural Networks Approach, Methodology, Result and Discussion

Abstract

The different biometric techniques have been discussed for ident ification. Such as face reading, fingerprint recognition and retina scanning and these are known as vision based i dentification. There are non vision based identifications such as signature verification and the voice recogni tion. Signature verification plays a vital role in the field of the financial, commercial and for the legal matters. Signature by any person considered as the approval for any work so the signature is the preferred authenticat ion. In this paper signature verification is done by means of image processing, geometric feature extraction and by using neural network technique.

Published

2021-03-27

Issue

Section

Articles