Integrated biometric verification system using soft computing approach

Abdul Rahman, Abdul Wahab and Ng, G. S. and Jonathan, A. (2007) Integrated biometric verification system using soft computing approach. Neural Processing Letters, 25 (2). pp. 111-126. ISSN 1370-4621 (P), 1573-773X (O)

PDF - Published Version Restricted to Repository staff only Download (630kB) | Request a copy

Abstract

Among various biometric verification systems, fingerprint verification is one of the most reliable and widely accepted. One essential part of fingerprint verification is the minutiae extraction system. Most existing minutiae extraction methods require image preprocessing or post processing resulting in additional complex computation and time. Hence, direct gray-scale minutiae extraction approach on the image is preferred. One of these approaches is the use of Fuzzy Neural Network (FNN) as a recognition system to detect the presence of minutiae pattern. Currently, the development of FNN as a tool of recognition has shown a promising prospect. Some researchers have proposed several types of FNN. In particular, a Generic Self Organizing Fuzzy Neural Network (GENSOFNN) has been shown to excel in comparison with other FNN. Therefore, a new approach to perform direct grayscale minutiae extraction based on GENSOFNN is proposed in this paper. Experimental results show the potential of using GENSOFNN for real-time point of sale (POS) terminal for verification.

Item Type:	Article (Journal)
Additional Information:	6145/38172
Uncontrolled Keywords:	biometric verification, false acceptance, false rejection, fingerprint verification, fuzzy neural network, minutiae
Subjects:	T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T57 Applied mathematics. Quantitative methods. Operation research. System analysis
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Prof Abdul Wahab Abdul Rahman
Date Deposited:	10 Sep 2014 15:18
Last Modified:	10 Sep 2014 15:18
URI:	http://irep.iium.edu.my/id/eprint/38172

Actions (login required)

View Item