User Identification System Based On Finger-Vein Patterns Using Convolutional Neural Network

Syazana Itqan, Khalid and Syafeeza, Ahmad Radzi and Gong, Fook Guan and Nur Badariah Ahmad, Mustafa and Wong, Yan Chiew and M. M., Ibrahim (2016) User Identification System Based On Finger-Vein Patterns Using Convolutional Neural Network. ARPN Journal Of Engineering And Applied Sciences, 11 (5). pp. 3316-3319. ISSN 1819-6608

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Abstract

Finger-vein biometric identification has gained attention recently due to its several advantages over fingerprint biometric traits. Finger-vein recognition is a method of biometric authentication that applies pattern recognition techniques based on the image of human finger-vein patterns. This paper is focused on developing a MATLAB-based finger-vein recognition system using Convolutional Neural Network (CNN) with Graphical User Interface (GUI) as the user input. Two layers of CNN out of the proposed four-layer CNN have been used to retrain the network for new incoming subjects. The pre-processing steps for finger-vein images and CNN design have been conducted pm different platforms. Therefore, this paper discusses the method of linking both parts from different platforms using MEX-files in MATLAB. Evaluation is carried out using images of 50 subjects that are developed in-house. An accuracy of an average of 96% is obtained to recognize 1 to 10 new subjects within less than 10 seconds.

Item Type:	Article
Uncontrolled Keywords:	finger-vein, convolutional neural network, biometric identification.
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Electronics and Computer Engineering
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	10 Oct 2016 00:28
Last Modified:	12 Sep 2021 23:25
URI:	http://eprints.utem.edu.my/id/eprint/17278
Statistic Details:	View Download Statistic

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