International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
Online Signature Recognition using Neural
Network
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Author Name: |
Babita Pegu, Aditya Bihar Kandali |
Abstract: |
In this work a new method of signature recognition with
neural network is proposed. The features are extracted from
two raw databases of ATVS signature database: one consisting
of 25 signature samples of 350 persons and other 46
signatures of 25 persons. The features include 9 features
computed by D.S. Guru and H.N. Prakash and proposed
features are no of pen downs, magnitude of average velocity,
magnitude of average acceleration and length to height ratio.
Signature features are pre-processed with a scaling method
and brought to a value having same decimal point. A feed
forward neural network is trained using back propagation
learning method. With each features removed, an accuracy
rate is calculated to check the feature which will be better for
signature verification. Accuracy of recognition up to 98% and
89% are obtained using signature samples of 10 persons from
each database respectively.
Keywords: signature recognition, neural network, back
propagation, confusion matrix. |
Cite this article: |
Babita Pegu, Aditya Bihar Kandali , "
Online Signature Recognition using Neural
Network " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 4, Issue 4, July - August 2015 , pp.
091-096 , ISSN 2278-6856.
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