Abstrakt

Enhanced Offline Signature Recognition Using Neural Network and MDA

Ishfaq Gull, Mujtaba Amin Dar, Ashish Sharma

This research identifying an individual based on person behavioural that have the capability to reliably distinguish between an authorized people therefore signature verification systems can be categorized as offline and online. Neural network based recognition of offline signatures system that is trained with low-resolution scanned signature images where signature of a person is an important biometric attribute of a human being which can be used to authenticate human identity however human signatures can be handled as an image and recognized using computer vision and neural network techniques and MDA modern computers there is need to develop fast algorithms for signature recognition where there are various approaches to signature recognition with a lot of scope of research. In this paper off-line signature recognition & verification using neural network and MDA is proposed where the signature is captured and presented to the user in an image format therefore the signatures are verified based on parameters extracted from the signature using various image processing techniques.