A Survey on Handwritten Signature Verification Approaches

Optimizing Handwritten Signature Verification

Signature recognition is probably the oldest biometrical identification method, with a high legal acceptance. Verification can be performed either Offline or Online based on the application. Online systems use dynamic information of a signature captured at the time the signature is made. Offline systems work on the scanned image of a signature. We have worked on the Offline Verification of sign...

Handwritten Signature Verification

Classification Approaches in Off-Line Handwritten Signature Verification

The aim of off-line signature verification is to decide, whether a signature originates from a given signer based on the scanned image of the signature and a few images of the original signatures of the signer. Although the verification process can be thought to as a monolith component, it is recommended to divide it into loosely coupled phases (like preprocessing, feature extraction, feature m...

A Survey on Signature Verification

The most widely accepted bio-metric for identification and authentication of a person are signatures. Signature verification is a technique used by banks, intelligence agencies and high-profile institutions to validate the identity of an individual. There are various techniques for signature verification, both online and offline. This paper aims at providing detailed overview on different signa...

Neural Networks on Handwritten Signature Verification

Biometric offers potential for automatic personal identification and verification, differently from other means for personal verification; biometric means are not based on the possession of anything (as cards) or the knowledge of some information (as passwords). There is considerable interest in biometric authentication based on automatic signature verification (ASV) systems because ASV has dem...