On the similarity of identical twin fingerprints

被引:137
作者
Jain, AK [1 ]
Prabhakar, S
Pankanti, S
机构
[1] Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA
[2] DigitalPersona Inc, Redwood City, CA 94063 USA
[3] IBM Corp, Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA
关键词
fingerprint; verification; identical twins; performance evaluation; biometrics;
D O I
10.1016/S0031-3203(01)00218-7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Reliable and accurate verification of people is extremely important in a number of business transactions as well as access to privileged information. Automatic verification methods based on physical biometric characteristics such as fingerprint or iris can provide positive verification with a very high accuracy. However, the biometrics-based methods assume that the physical characteristics of an individual (as captured by a sensor) used for verification are sufficiently unique to distinguish one person from another. Identical twins have the closest genetics-based relationship and, therefore, the maximum similarity between fingerprints is expected to be found among identical twins. We show that a state-of-the-art automatic fingerprint verification system can successfully distinguish identical twins though with a slightly lower accuracy than nontwins. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:2653 / 2663
页数:11
相关论文
共 21 条
[1]  
[Anonymous], NIST SPECIAL DATABAS
[2]  
[Anonymous], 1999, Biometrics: personal identification in networked society
[3]  
Biometrics Working Group (UK, 2000, BEST PRACT TEST REP
[4]  
BODMER W, 1994, BOOK MAN QUEST DISCO
[5]  
COLE S, MYTH FINGERPRINTS FO
[6]  
COSTELLO D, 1999, FAMILIES PERFECT DEC
[7]  
Cummins H., 1961, Fingerprints, palms and soles: an introduction to dermatoglyphics
[8]  
DAUGMAN J, 1999, BIOMETRICS PERSONAL
[9]  
EIBERT MD, 1999, HUMAN CLONING MYTHS
[10]  
Galton F., 1892, FINGER PRINTS