Review of Feature Extraction Techniques for Offline Signature Verification

Signature is considered as one of the most important biometrics, since every person has, his/her own unique signature. Signature by authorized person is only considered as authentic. Signature verification is very important in financial, commercial and legal transactions. Signature verification is split into two according to the available data in the input, Off-line and On-line. Signature verification system consists of preprocessing, feature extraction, classification and verification phases. Since performance of every signature verification system depends on the quality and types of features extracted, feature extraction is very important phase. This paper presents survey on several feature extraction techniques used by researchers in their offline signature verification system.

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