Print ISSN: 1681-6900

Online ISSN: 2412-0758

Author : Ayad Yousif, Noor

Offline Signature Recognition and Verification Based on Artifical Neural Network

Noor Ayad Yousif; Mohammed A. Abdala

Engineering and Technology Journal, 2009, Volume 27, Issue 7, Pages 1376-1384

In this paper, a problem for Offline Signature Recognition and Verification is presented. A
system is designed based on two neural networks classifier and three powerful features (global,
texture and grid features). Our designed system consist of three stages: the first is preprocessing
stage, second is feature extraction stage and the last is neural network (classifiers)
stage which consists of two classifiers, the first classifier consists of three Back Propagation
Neural Network and the second classifier consists of two Radial Basis Function Neural
Network. The final output is taken from the second classifier which decides to whom the
signature belongs and if it is genuine or forged. The system is found to be effective with a
recognition rate of (%95.955) if two back propagation of the first classifier recognize the
signature and (%99.31) if all three back propagation recognize the signature.