A review of biometric technology along with trends and prospects

被引：264
作者：
Unar, J. A. [1 ,2 ]
Seng, Woo Chaw [1 ]
Abbasi, Almas [1 ]
机构：
[1] Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur 50603, Malaysia
[2] Quaid E Awam Univ Engn Sci & Technol, Dept Informat Technol, Nawabshah, Sindh, Pakistan
来源：
PATTERN RECOGNITION | 2014年 / 47卷 / 08期
关键词：
Biometrics; Fingerprint; Face; Iris; Retina; Behavioral biometrics; Gait; Voice; Soft biometrics; Multi-modal biometrics; ONLINE SIGNATURE VERIFICATION; DYNAMICS IDENTITY VERIFICATION; SUPPORT VECTOR MACHINES; FACE RECOGNITION; EAR RECOGNITION; KEYSTROKE DYNAMICS; FINGERPRINT CLASSIFICATION; FEATURE-EXTRACTION; NEURAL-NETWORKS; PERSONAL IDENTIFICATION;
D O I：
10.1016/j.patcog.2014.01.016
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Identity management through biometrics offer potential advantages over knowledge and possession based methods. A wide variety of biometric modalities have been tested so far but several factors paralyze the accuracy of mono-modal biometric systems. Usually, the analysis of multiple modalities offers better accuracy. An extensive review of biometric technology is presented here. Besides the mono-modal systems, the article also discusses multi-modal biometric systems along with their architecture and information fusion levels. The paper along with the exemplary evidences highlights the potential for biometric technology, market value and prospects. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2673 / 2688
页数：16
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