Enhanced Gabor-based region covariance matrices for palmprint recognition

J. Lu; Y. Zhao; J. Hu

doi:10.1049/el.2009.0871

Enhanced Gabor-based region covariance matrices for palmprint recognition

J. Lu^*
, Y. Zhao
, J. Hu

^*此作品的通讯作者

Nanyang Technological University
Xi'an University of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

30 引用（Scopus）

摘要

An enhanced Gabor-based region covariance matrices (EGRCM) method for palmprint recognition is proposed. Motivated by the fact that both the Gabor magnitude (GM) and the Gabor phase (GP) of a certain image contain effective information for image feature extraction, they are utilised simultaneously to construct the proposed EGRCM image descriptor for palmprint recognition. Experimental results demonstrate the efficacy of the proposed method.

源语言	英语
页（从-至）	880-881
页数	2
期刊	Electronics Letters
卷	45
期	17
DOI	https://doi.org/10.1049/el.2009.0871
出版状态	已出版 - 2009
已对外发布	是

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abstract = "An enhanced Gabor-based region covariance matrices (EGRCM) method for palmprint recognition is proposed. Motivated by the fact that both the Gabor magnitude (GM) and the Gabor phase (GP) of a certain image contain effective information for image feature extraction, they are utilised simultaneously to construct the proposed EGRCM image descriptor for palmprint recognition. Experimental results demonstrate the efficacy of the proposed method.",

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AB - An enhanced Gabor-based region covariance matrices (EGRCM) method for palmprint recognition is proposed. Motivated by the fact that both the Gabor magnitude (GM) and the Gabor phase (GP) of a certain image contain effective information for image feature extraction, they are utilised simultaneously to construct the proposed EGRCM image descriptor for palmprint recognition. Experimental results demonstrate the efficacy of the proposed method.

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DO - 10.1049/el.2009.0871

M3 - 文章

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JO - Electronics Letters

JF - Electronics Letters

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Enhanced Gabor-based region covariance matrices for palmprint recognition

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