A study of identical twins' palmprints for personal verification

Adams Wai Kin Kong; Dapeng Zhang; Guangming Lu

doi:10.1016/j.patcog.2006.04.035

A study of identical twins' palmprints for personal verification

Adams Wai Kin Kong, Dapeng Zhang, Guangming Lu

Research output: Journal article publication › Journal article › Academic research › peer-review

90 Citations (Scopus)

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.

Original language	English
Pages (from-to)	2149-2156
Number of pages	8
Journal	Pattern Recognition
Volume	39
Issue number	11
DOIs	https://doi.org/10.1016/j.patcog.2006.04.035
Publication status	Published - 1 Nov 2006

Keywords

Biometric
Identical twins
Palmprint
Personal identification

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

More information

10.1016/j.patcog.2006.04.035

Cite this

@article{8e213e6230e445d385ff793d7c363624,

title = "A study of identical twins' palmprints for personal verification",

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.",

keywords = "Biometric, Identical twins, Palmprint, Personal identification",

author = "Kong, {Adams Wai Kin} and Dapeng Zhang and Guangming Lu",

year = "2006",

month = nov,

day = "1",

doi = "10.1016/j.patcog.2006.04.035",

language = "English",

volume = "39",

pages = "2149--2156",

journal = "Pattern Recognition",

issn = "0031-3203",

publisher = "Elsevier Ltd",

number = "11",

}

TY - JOUR

T1 - A study of identical twins' palmprints for personal verification

AU - Kong, Adams Wai Kin

AU - Zhang, Dapeng

AU - Lu, Guangming

PY - 2006/11/1

Y1 - 2006/11/1

N2 - 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.

AB - 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.

KW - Biometric

KW - Identical twins

KW - Palmprint

KW - Personal identification

UR - http://www.scopus.com/inward/record.url?scp=33746798544&partnerID=8YFLogxK

U2 - 10.1016/j.patcog.2006.04.035

DO - 10.1016/j.patcog.2006.04.035

M3 - Journal article

SN - 0031-3203

VL - 39

SP - 2149

EP - 2156

JO - Pattern Recognition

JF - Pattern Recognition

IS - 11

ER -

A study of identical twins' palmprints for personal verification

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this