Dear sir,
can u pls send me the full source code for robustness of offline signature verification based on gray level features.

Biometrics (or biometric authentication) refers to the process of identification of humans by their characteristics or traits. Biometrics is used in computer science as a form of identification and access control which is one of the most secure methods to keep humans privacy. Biometric can be classified into two categories: behavioural (signature verification, keystroke dynamics, etc.) and physiological (iris characteristics, fingerprint, etc.). Handwritten signature is amongst the first few biometrics to be used even before the advent of computers. Offline Signature verification is an authentication method that uses the dynamics of a person's handwritten signature measure and analyses the physical activity of signing. The core of a signature biometric system is behavioural, and in this paper we have proposed an off-line signature verification and recognition system using pixel matching technique. PMT (Pixel Matching Technique) is used to verify the signature of the user with the sample signature which is stored in the database. The performance of the proposed method has been compared with the existing ANN (Artificial Neural Network's) back-propagation method and SVM (Support Vector Machine) technique.