Citation

Sayeed, Shohel and Andrews, S. and Besar, Rosli and Kiong, Loo Chu (2007) Forgery Detection in Dynamic Signature Verification by Entailing Principal Component Analysis. Discrete Dynamics in Nature and Society, 2007. p. 1. ISSN 1026-0226

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Abstract

The critical analysis of the data glove-based signature identification and forgery detection system emphasizes the essentiality of noise-free signals for input. Lucid inputs are expected for the accuracy enhancement and performance. The raw signals that are captured using 14- and 5-electrode data gloves for this purpose have a noisy and voluminous nature. Reduction of electrodes may reduce the volume but it may also reduce the efficiency of the system. The principal component analysis (PCA) technique has been used for this purpose to condense the volume and enrich the operational data by noise reduction without affecting the efficiency. The advantage of increased discernment in between the original and forged signatures using 14- electrode glove over 5-electrode glove has been discussed here and proved by experiments with many subjects. Calculation of the sum of mean squares of Euclidean distance has been used to project the advantage of our proposed method. 3.1% and 7.5% of equal error rates for 14 and 5 channels further reiterate the effectiveness of this technique. Copyright (c) 2007.

Item Type:	Article
Subjects:	T Technology > T Technology (General) Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	18 Oct 2011 06:39
Last Modified:	03 Mar 2014 04:35
URII:	http://shdl.mmu.edu.my/id/eprint/3154

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