HEURISTIC TECHNIQUES FOR HANDWRITTEN SIGNATURE CLASSIFICATION

A Performance Analysis of Different Classification Techniques in Offline Handwritten Signature Verification

Offline handwritten signature system works on the scanned image of a signature. Offline handwritten signature verification is a two class pattern recognition problem. For our experimentation purpose, we have developed offline signature datasets of with genuine and forged signature samples. Some commonly used geometric features were extracted from the signature datasets. Sequential Minimization ...

Offline handwritten signature identification using adaptive window positioning techniques

The paper presents to address this challenge, we have proposed the use of Adaptive Window Positioning technique which focuses on not just the meaning of the handwritten signature but also on the individuality of the writer. This innovative technique divides the handwritten signature into 13 small windows of size nxn (13x13). This size should be large enough to contain ample information about th...

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...

Offline Handwritten Signature Recognition

Biometrics, which refers to identifying an individual based on his or her physiological or behavioral characteristics, has the capability to reliably distinguish between an authorized person and an imposter. Signature verification systems can be categorized as offline (static) and online (dynamic). This paper presents a neural network based recognition of offline handwritten signatures system t...

Handwritten Signature Verification