Sharayu S. Sangekar, D. C. Dhanwani
Abstract: Signatures are widely accepted bio-metric for authentication and identification of a person because every person has a distinct signature with its specific behavioural feature, hence it is very much necessary to prove the authenticity of signature itself. A large increase in forgery cases relative to signatures induced a need of efficient Signature Recogniton System. These signature recognition systems can be online or offline based on the type of input taken by the system. Handwritten signature is used widely as a biometric traits for authentication of person as well as document. After preprocessing the signature, various features are extracted. The authenticity of a writer is detected by comparing an input signature with the stored reference set (template) consisting of signatures.
Keywords: Signature Recognition, Biometric, HMM, Support Vector machine SVM, Neural Network