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Offline Graphical Analysis of Signatures Using Geometric Features and Artificial Neural Network

  • Parvesh Saini
  • Ishita Uniyal
  • Neeraj Singh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)

Abstract

Signature verification is an important research area in the field of personal validation because signatures have become an important and crucial tool for the human identification. The verification of human signature is substantial when dealing with the financial and non-financial transactions. Nowadays, it has become necessary to have a computer-based signature verification system. This helps in verifying the signatures in more convenient way. This paper presents graphical analysis of signatures (original and forged) of human on the basis of simple geometrical features. Artificial neural network has been used as a classifier to distinguish between original and forged signature. Algorithm has been developed, and results have been obtained through MATLAB.

Keywords

Biometrics Signature verification Offline mode Artificial neural network Geometric features 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Electrical EngineeringGraphic Era UniversityDehradunIndia

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