Share Email Print
cover

Proceedings Paper

A study of multibiometric traits of identical twins
Author(s): Zhenan Sun; Alessandra A. Paulino; Jianjiang Feng; Zhenhua Chai; Tieniu Tan; Anil K. Jain
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The increase in twin births has created a requirement for biometric systems to accurately determine the identity of a person who has an identical twin. The discriminability of some of the identical twin biometric traits, such as fingerprints, iris, and palmprints, is supported by anatomy and the formation process of the biometric characteristic, which state they are different even in identical twins due to a number of random factors during the gestation period. For the first time, we collected multiple biometric traits (fingerprint, face, and iris) of 66 families of twins, and we performed unimodal and multimodal matching experiments to assess the ability of biometric systems in distinguishing identical twins. Our experiments show that unimodal finger biometric systems can distinguish two different persons who are not identical twins better than they can distinguish identical twins; this difference is much larger in the face biometric system and it is not significant in the iris biometric system. Multimodal biometric systems that combine different units of the same biometric modality (e.g. multiple fingerprints or left and right irises.) show the best performance among all the unimodal and multimodal biometric systems, achieving an almost perfect separation between genuine and impostor distributions.

Paper Details

Date Published: 14 April 2010
PDF: 12 pages
Proc. SPIE 7667, Biometric Technology for Human Identification VII, 76670T (14 April 2010); doi: 10.1117/12.851369
Show Author Affiliations
Zhenan Sun, Institute of Automation (China)
Alessandra A. Paulino, Michigan State Univ. (United States)
Jianjiang Feng, Michigan State Univ. (United States)
Zhenhua Chai, Institute of Automation (China)
Tieniu Tan, Institute of Automation (China)
Anil K. Jain, Michigan State Univ. (United States)
Korea Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 7667:
Biometric Technology for Human Identification VII
B. V. K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

© SPIE. Terms of Use
Back to Top