Offline Signature Recognition & Verification using Neural Networkl
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10.5120/4377-6046 |
O C Abikoye, M A Mabayoje and R Ajibade. Article: Offline Signature Recognition & Verification using Neural Network. International Journal of Computer Applications 35(2):44-51, December 2011. Full text available. BibTeX
@article{key:article,
author = {O. C. Abikoye and M. A. Mabayoje and R. Ajibade},
title = {Article: Offline Signature Recognition & Verification using Neural Network},
journal = {International Journal of Computer Applications},
year = {2011},
volume = {35},
number = {2},
pages = {44-51},
month = {December},
note = {Full text available}
}
Abstract
The 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. With modern computers, there is need to develop fast algorithms for signature recognition.
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 is proposed, where the signature is captured and presented to the user in an image format. Signatures are verified based on parameters extracted from the signature using various image processing techniques.
The Off-line Signature Recognition and Verification is implemented using C# (C-sharp). This work has been tested and found suitable for its purpose.
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