Palmprint verification using consistent orientation coding

Zhenhua Guo; Wangmeng Zuo; Lei Zhang; Dapeng Zhang

doi:10.1109/ICIP.2009.5413728

Palmprint verification using consistent orientation coding

Zhenhua Guo, Wangmeng Zuo, Lei Zhang, Dapeng Zhang

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

9 Citations (Scopus)

Abstract

Developing accurate and robust palmprint verification algorithms is one of the key issues in automatic palmprint recognition systems. Recently, orientation based coding algorithms, such as Competitive Code (CompCode) and Orthogonal Line Ordinal Features (OLOF), have been proposed and have been attracting much research attention. Such algorithms could achieve high accuracy with high feature matching speed for real time implementation. By investigating the relationship between these two different coding schemes, we propose in this paper a feature-level fusion scheme for palmprint verification. Only the stable features which are consistent between the two codes are extracted for matching. The experimental results on the public palmprint database show that the proposed fusion code could achieve at least 14% EER (Equal Error Rate) reduction compared with either of the original codes.

Original language	English
Title of host publication	2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
Publisher	IEEE Computer Society
Pages	1985-1988
Number of pages	4
ISBN (Print)	9781424456543
DOIs	https://doi.org/10.1109/ICIP.2009.5413728
Publication status	Published - 1 Jan 2009
Event	2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt Duration: 7 Nov 2009 → 10 Nov 2009

Conference

Conference	2009 IEEE International Conference on Image Processing, ICIP 2009
Country/Territory	Egypt
City	Cairo
Period	7/11/09 → 10/11/09

Keywords

Feature-level fusion
Orientation coding
Palmprint verification

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

More information

10.1109/ICIP.2009.5413728

Cite this

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title = "Palmprint verification using consistent orientation coding",

abstract = "Developing accurate and robust palmprint verification algorithms is one of the key issues in automatic palmprint recognition systems. Recently, orientation based coding algorithms, such as Competitive Code (CompCode) and Orthogonal Line Ordinal Features (OLOF), have been proposed and have been attracting much research attention. Such algorithms could achieve high accuracy with high feature matching speed for real time implementation. By investigating the relationship between these two different coding schemes, we propose in this paper a feature-level fusion scheme for palmprint verification. Only the stable features which are consistent between the two codes are extracted for matching. The experimental results on the public palmprint database show that the proposed fusion code could achieve at least 14% EER (Equal Error Rate) reduction compared with either of the original codes.",

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Palmprint verification using consistent orientation coding. / Guo, Zhenhua; Zuo, Wangmeng; Zhang, Lei et al.
2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society, 2009. p. 1985-1988 5413728.

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

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Palmprint verification using consistent orientation coding

Abstract

Conference

Keywords

ASJC Scopus subject areas

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