Multispectral palmprint recognition using wavelet-based image fusion

Dong Han; Zhenhua Guo; Dapeng Zhang

doi:10.1109/ICOSP.2008.4697553

Multispectral palmprint recognition using wavelet-based image fusion

Dong Han, Zhenhua Guo, Dapeng Zhang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

70 Citations (Scopus)

Abstract

Palmprint is widely used in personal identification for an accurate and robust recognition. To improve the existing palmprint systems, the proposed system, which is the first on-line multispectral palmprint recognition system ever designed before, uses multispectral capture device to sense images under different illumination, including Red, Green, Blue and Infrared. We adopt Competitive Coding Scheme as matching algorithm, which performs well in on-line palmprint recognition. Wavelet-based image fusion method is used as data-level fusion strategy in our scheme. Fused verifications show better effort on motion blurred source images than single channel. Experimental results of fusion images are also useful references for future work on multispectral palmprint recognition.

Original language	English
Title of host publication	2008 9th International Conference on Signal Processing, ICSP 2008
Pages	2074-2077
Number of pages	4
DOIs	https://doi.org/10.1109/ICOSP.2008.4697553
Publication status	Published - 1 Dec 2008
Event	2008 9th International Conference on Signal Processing, ICSP 2008 - Beijing, China Duration: 26 Oct 2008 → 29 Oct 2008

Conference

Conference	2008 9th International Conference on Signal Processing, ICSP 2008
Country/Territory	China
City	Beijing
Period	26/10/08 → 29/10/08

Keywords

Image fusion
Motion blurring
Multispectral biometrics
Palmprint recognition
Wavelet transform

ASJC Scopus subject areas

Software
Signal Processing
Computer Science Applications

More information

10.1109/ICOSP.2008.4697553

Cite this

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title = "Multispectral palmprint recognition using wavelet-based image fusion",

abstract = "Palmprint is widely used in personal identification for an accurate and robust recognition. To improve the existing palmprint systems, the proposed system, which is the first on-line multispectral palmprint recognition system ever designed before, uses multispectral capture device to sense images under different illumination, including Red, Green, Blue and Infrared. We adopt Competitive Coding Scheme as matching algorithm, which performs well in on-line palmprint recognition. Wavelet-based image fusion method is used as data-level fusion strategy in our scheme. Fused verifications show better effort on motion blurred source images than single channel. Experimental results of fusion images are also useful references for future work on multispectral palmprint recognition.",

keywords = "Image fusion, Motion blurring, Multispectral biometrics, Palmprint recognition, Wavelet transform",

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AU - Han, Dong

AU - Guo, Zhenhua

AU - Zhang, Dapeng

PY - 2008/12/1

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N2 - Palmprint is widely used in personal identification for an accurate and robust recognition. To improve the existing palmprint systems, the proposed system, which is the first on-line multispectral palmprint recognition system ever designed before, uses multispectral capture device to sense images under different illumination, including Red, Green, Blue and Infrared. We adopt Competitive Coding Scheme as matching algorithm, which performs well in on-line palmprint recognition. Wavelet-based image fusion method is used as data-level fusion strategy in our scheme. Fused verifications show better effort on motion blurred source images than single channel. Experimental results of fusion images are also useful references for future work on multispectral palmprint recognition.

AB - Palmprint is widely used in personal identification for an accurate and robust recognition. To improve the existing palmprint systems, the proposed system, which is the first on-line multispectral palmprint recognition system ever designed before, uses multispectral capture device to sense images under different illumination, including Red, Green, Blue and Infrared. We adopt Competitive Coding Scheme as matching algorithm, which performs well in on-line palmprint recognition. Wavelet-based image fusion method is used as data-level fusion strategy in our scheme. Fused verifications show better effort on motion blurred source images than single channel. Experimental results of fusion images are also useful references for future work on multispectral palmprint recognition.

KW - Image fusion

KW - Motion blurring

KW - Multispectral biometrics

KW - Palmprint recognition

KW - Wavelet transform

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M3 - Conference article published in proceeding or book

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BT - 2008 9th International Conference on Signal Processing, ICSP 2008

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Multispectral palmprint recognition using wavelet-based image fusion

Abstract

Conference

Keywords

ASJC Scopus subject areas

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