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Off-line signature verification and recognition: Neural network approach

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2 Author(s)
Odeh, S.M. ; Comput. & Inf. Syst. Dept., Bethlehem Univ., Bethlehem, Palestinian Authority ; Khalil, M.

This paper discusses signature verification and recognition using a new approach that depends on a neural network which enables the user to recognize whether a signature is original or a fraud. The user introduces into the computer the scanned images, modifies their quality by image enhancement and noise reduction techniques, to be followed by feature extraction and neural network training, and finally verifies the authenticity of the signature. The paper discusses the different stages of the process including: image pre-processing, feature extraction and pattern recognition through neural networks.

Published in:

Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on

Date of Conference:

15-18 June 2011