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signature recognition using matlab ppt

Signature continue to be an important biometric for authenticating the identity of human beings. This paper presents an effective method to perform Off-line signature verification using unique structural features extracted from the signature's contour. A novel combination of Modified Direction Feature (MDF) and additional distinguishing features such as the centroid, baseline area, length and skew are used for classification. This paper involves the design and development of an efficient signature identification system. The pattern recognition algorithm designed for this project is based on general architecture of signature identification system. Program source code and simulation is executed in MATLAB.

Signature-Recognition-Based-on-Neural-Networks-Matlab-Code
Signature Recognition [Neural Networks ] V4 : Simple and Effective Source Code Neural Networks Based Signature Recognition.

NEURAL NETWORKS BASED SIGNATURE RECOGNITION

In order to obtain the complete source code for Neural Networks Based signature Recognition please visit my website

http://matlab-recognition-codesignature-recognition-based-on-neural-networks/

For more informations please email me hamdouchhd[at]hotmail.com

Hamdi Boukamcha Tunisia Sousse 4081 email hamdouchhd[at]hotmail.com mobile +216 50674269 website http://matlab-recognition-code.com