Handwritten Signature Verification Method Based on Improved Combined Features

Handwritten Signature Verification Technique based on Extract Features

In this paper, we describe a new method to identify the handwriting signature. There are many methods for signature verification, but most of them require segmentation or connected component analysis. A robust Verification technique for identifying and verifying human-signature images is presented. The Verification process utilizes the determinant value that produces the features for the handwr...

Handwritten Signature Verification Based on Surf Features Using HMM

Handwritten signature broadly used biometric which include elevated intrapersonal variance .Signature are generally used as the personal identification apparatus for human that the necessitate for verification system. Two types verification is performed generally online (dynamic) and offline signature verification (static). The static is offline technology that is used for documents authenticat...

Handwritten signature verification based on neural 'gas' based vector quantization

This paper propose a vector quantization (VQ) technique to solve the problem of handwritten signature verijication. A neural ‘gas’ model is trained to establish a reference set for each registered person with handwritten signature samples. Then a test sample is compared with all the prototypes in the reference set and the system outputs the label of the writer of the word. Several difSerent fea...

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