A study of identical twins’ palmprints for personal authentication

Authors:
Adams Kong;David Zhang;Guangming Lu
Affiliations:
Pattern Analysis and Machine Intelligence Lab, University of Waterloo, Waterloo, Ontario, Canada;Biometric Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong;Biocomputing Research Lab, School of Computer Science and Engineering, Harbin Institute of Technology, Harbin, China
Venue:
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Year:
2006

Citing 6
Cited 1

An Introduction to Evaluating Biometric Systems

Computer
An Introduction to Evaluating Biometric Systems

Computer
Online Palmprint Identification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Competitive Coding Scheme for Palmprint Verification

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Adaptive classifier integration for robust pattern recognition

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An introduction to biometric recognition

IEEE Transactions on Circuits and Systems for Video Technology

Palmprint Verification Using Circular Gabor Filter

ICB '09 Proceedings of the Third International Conference on Advances in Biometrics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Biometric recognition based on human characteristics for personal identification has attracted great attention. The performance of biometric systems highly depends on the distinctive information in the biometrics. However, identical twins having the closest genetics-based relationship are expected to have maximum similarity between their biometrics. Classifying identical twins is a challenging problem for some automatic biometric systems. In this paper, we summarize the exiting experimental results about identical twins’ biometrics including face, iris, fingerprint and voice. Then, we systemically examine identical twins’ palmprints. The experimental results show that we can employ low-resolution palmprint images to distinguish identical twins.