Feature-level fusion for effective palmprint authentication

Adams Wai Kin Kong; Dapeng Zhang

Feature-level fusion for effective palmprint authentication

Adams Wai Kin Kong, Dapeng Zhang

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

Abstract

A feature-level fusion approach is proposed for improving the efficiency of palmprint identification. Multiple Gabor filters are employed to extract the phase information on a palmprint image, which is then merged according to a fusion rule to produce a single feature called the Fusion Code. The similarity of two Fusion Codes is measured by their normalized hamming distance. A database containing 7,752 palmprint images from 386 different palms is used to validate the performance of the proposed method. Empirically comparing our previous non-fusion approach and the proposed method, improvement in verification is ensured.

Original language	English
Pages (from-to)	761-767
Number of pages	7
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3072
Publication status	Published - 1 Dec 2004

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

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title = "Feature-level fusion for effective palmprint authentication",

abstract = "A feature-level fusion approach is proposed for improving the efficiency of palmprint identification. Multiple Gabor filters are employed to extract the phase information on a palmprint image, which is then merged according to a fusion rule to produce a single feature called the Fusion Code. The similarity of two Fusion Codes is measured by their normalized hamming distance. A database containing 7,752 palmprint images from 386 different palms is used to validate the performance of the proposed method. Empirically comparing our previous non-fusion approach and the proposed method, improvement in verification is ensured.",

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

year = "2004",

month = dec,

day = "1",

language = "English",

volume = "3072",

pages = "761--767",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Feature-level fusion for effective palmprint authentication. / Kong, Adams Wai Kin; Zhang, Dapeng.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3072, 01.12.2004, p. 761-767.

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

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AU - Zhang, Dapeng

PY - 2004/12/1

Y1 - 2004/12/1

N2 - A feature-level fusion approach is proposed for improving the efficiency of palmprint identification. Multiple Gabor filters are employed to extract the phase information on a palmprint image, which is then merged according to a fusion rule to produce a single feature called the Fusion Code. The similarity of two Fusion Codes is measured by their normalized hamming distance. A database containing 7,752 palmprint images from 386 different palms is used to validate the performance of the proposed method. Empirically comparing our previous non-fusion approach and the proposed method, improvement in verification is ensured.

AB - A feature-level fusion approach is proposed for improving the efficiency of palmprint identification. Multiple Gabor filters are employed to extract the phase information on a palmprint image, which is then merged according to a fusion rule to produce a single feature called the Fusion Code. The similarity of two Fusion Codes is measured by their normalized hamming distance. A database containing 7,752 palmprint images from 386 different palms is used to validate the performance of the proposed method. Empirically comparing our previous non-fusion approach and the proposed method, improvement in verification is ensured.

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M3 - Journal article

SN - 0302-9743

VL - 3072

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Feature-level fusion for effective palmprint authentication

Abstract

ASJC Scopus subject areas

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