A study of identical twins' palmprints for personal verification

Authors:
Adams Wai-Kin Kong;David Zhang;Guangming Lu
Affiliations:
Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong and Pattern Analysis and Machine Intelligence Lab, Department of Electrical and Comput ...;Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong;Graduate School at Shenzhe, Tsinghua University, Shenzhen, China
Venue:
Pattern Recognition
Year:
2006

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Abstract

Automatic biometric systems based on human characteristics for personal identification have attracted great attention. Their performance highly depends on the distinctive information in the biometrics. Identical twins having the closest genetics-based relationship are expected to have maximum similarity in their biometrics. Classifying identical twins is a challenging problem for some automatic biometric systems. Palmprint has been studied for personal identification for over seven years. Most of the previous research concentrates on algorithm development. In this paper, we systemically examine palmprints from the same DNA for automatic personal identification and to uncover the genetically related palmprint features. The experimental results show that the three principal lines and some portions of weak lines are genetically related features but our palms still contain rich genetically unrelated features for classifying identical twins.