Offline signature verification using nn, KNN and SURF

Signature is one of the most popular and widely accepted bio-metric for authentication and identification of a person. In order to permit a check or it is a mark as well as mark made by an individual to execute a document and signify knowledge, acceptance, or obligation. There are diverse techniques in the course of which one can categorize the signature as accurate or fictitious. As Major documents such as demand drafts, property papers are generally subjectedto malpractices. Hence prerequisite of automatic signature verification becomes unavoidable as the degree of processing and locating the individuals augmented several fold in legal and financial transaction. Thus an automated signature verification system is mandatory. The principal objective of the signature verification system is to make out the exclusive characteristics of personal styles of writing. Basically signature recognition deals with identifying a person whereas verification deals with detecting whether the signature is genuine or fake. The inevitable side-effect of the signatures is that they can be misused for the purpose of the faking a data genuineness Different techniques give different figures for measurement of FAR (False Rate), FRR (False Rejection Rate), EER(Equal Error Rate)which were evaluated further.

Biometricsthe automatic recognition of an individual based on his/her physiological or behavioral uniqueness. This method of verification is favored over classical methods including passwords and PIN numbers for its exactness and case sensitivity. A biometric system is generally a pattern detection system which makes a personal identification by seminal the genuineness of a specific physiological or behavioral characteristic infatuated by the user. These characteristics are quantifiable and unique. These characteristics should not be forged. An important issue in conniving a system is to decide how aperson features are identified. Finger print and thumb scanning, eye scan or scanning of retina, or iris, body scanning of a person does not match with any other in the database. So it enhances the security. Biometrics means Voice, hand, Eye, Fingerprint, Facial recognition and more. An Offline method generally does not want any particular acquirement of hardware, just a pen or pencil and a paper, they are therefore less persistent and most user friendly as compared to online signature verification. Data collection is done by scanning individual handwritten signature. Features are extraction from signature image and used for signature verification.