Static Signature Verification and Recognition using Neural Network Approach-A Survey

A number of biometric techniques have been used for personal identification such as face recognition, fingerprint recognition, voice recognition and signature recognition. However signature verification is most widely used. Signature being the most prominent handwritten proof of identity is used for authentication of documents in the fields of financial, commercial and legal transactions which requires high level of secured authentication. This paper discusses signature verification and recognition using neural network approach. The method uses scanned signature fed to computer where its image quality is enhanced and compared, finally verifies the authenticity using neural network training. The system involves several stages: image preprocessing, feature extraction and neural network training.