Bi-feature verification for palmprint images captured in pegless scenarios

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106399

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106399

Title:	Bi-feature verification for palmprint images captured in pegless scenarios
Authors:	鄭旭詠;LIN, CHIH-LUNG;CHENG, HSU-YUNG;FAN, KUO-CHIN;LU, CHUN-WEI;JUAN, CHANG-JUNG;KUO, CHIH-WEI
Contributors:	資訊電機學院資訊工程學系
Keywords:	Access control;Artificial intelligence;Biometrics;Classification;Expert systems;Histograms;Image resolution;Pattern recognition;Support vector machines
Date:	2013-08-01
Issue Date:	2026-04-23 13:20:09 (UTC+8)
Publisher:	World Scientific Publishing Co. Pte Ltd;Singapore: World Scientific Publishing Company
Abstract:	摘要： This paper presents a reliable and robust palmprint verification approach that involves using a bi-feature, biometric, palmprint feature-point number (FPN) and a histogram of oriented gradient (HOG). The bi-feature was fused and verified using a support vector machine (SVM) at the feature level. The approach has the advantages of capturing palm images in pegless scenarios with a low cost and low-resolution (100 dpi) digital scanner, and one sensor can capture palmprint bi-feature information. The low-resolution images result in a smaller database. Nine thousand palmprint images were collected from 300 people to verify the validity of the proposed approach. The results showed an accurate classification rate of 99.04%. The experimental results demonstrated that the proposed approach is feasible and effective in palmprint verification. Our findings will help extend palmprint verification technology to security access control systems. 出版者： Singapore: World Scientific Publishing Company 出版日期： 2013-08 出處： International journal of pattern recognition and artificial intelligence, 2013-08, Vol.27 (5), p.1356007-1-1356007-15 版權： 2013, World Scientific Publishing Company 版權： 2013. World Scientific Publishing Company 識別號： ISSN: 0218-0014 識別號： EISSN: 1793-6381 識別號： DOI: 10.1142/S0218001413560077
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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