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ANN Based Handwritten Signature Recognition System

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ANN Based Handwritten Signature Recognition System

Myat Mon Kyaw | San San Nwe | Myint Myint Yee

Myat Mon Kyaw | San San Nwe | Myint Myint Yee "ANN Based Handwritten Signature Recognition System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5, August 2019, pp.2094-2097, URL: https://www.ijtsrd.com/papers/ijtsrd27866.pdf

Handwritten Signature Veri?cation (HSV) is an automated method of verifying a signature by capturing features about a signature’s shape (i.e., static features) and the characteristics of how the person signs his/her name in real-time (i.e., dynamic features). This system provides a method of handwritten signature recognition and verification using the shapes of the signatures, artificial neural network and neural network simulation tool. The shapes of signatures are used to find the features points for features extraction. Then the extracted features are trained by using artificial neural network. A comparison of extracted features is done between the original signature and other relative signatures by using neural simulation toolbox. If the features are matched, the system shows that the signature is verified and the person is authorized and unauthorized.

HSV, artificial neural network

Volume-3 | Issue-5, August 2019
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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