快速稀疏表示指背关节纹识别及其并行实现

吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (增刊1): 350-355.

快速稀疏表示指背关节纹识别及其并行实现

翟懿奎, 甘俊英, 徐颖, 曾军英

五邑大学信息工程学院,广东江门 529020

收稿日期:2012-03-01 出版日期:2012-09-01 发布日期:2012-09-01
作者简介:翟懿奎(1982-),男,讲师,博士研究生.研究方向:图像处理与模式识别.E-mail:yikuizhai@163.com
基金资助:
国家自然科学基金项目(61072127,61070167);广东省自然科学基金项目(10152902001000002,S2011040004211,07010869);广东省高等学校高层次人才资助项目(粤教师函[2010]79号).

Fast sparse representation for finger-knuckle-print recognition and it's parallel implementation

ZHAI Yi-kui, GAN Jun-ying, XU Ying, ZENG Jun-ying

School of Information and Engineering, Wuyi University, Jiangmen 529020, China

Received:2012-03-01 Online:2012-09-01 Published:2012-09-01

摘要/Abstract

摘要： 研究了基于平滑l₀范数的稀疏表示模型的指背关节纹识别方法。首先,对训练样本进行超完备字典的构建,然后采用局部二元模式进行特征提取与降维,平滑l₀范数对其进行求解,加速识别过程,提高识别效率及性能。最后,探讨了该稀疏模型的并行实现模型,并给出了相关实验结果。在香港理工大学指背关节数据库(FKP Database)上的实验表明,所提方法具有较高的识别率,具有良好的实际应用价值。

关键词: 计算机应用, 指背关节识别, 稀疏表示, 平滑l₀范数, 并行实现

Abstract: A smooth l₀ norm spare representation model based FKP algorithm is proposed.Firstly,an over-complete dictionary is constructed using the training samples,and then Local Binary Pattern (LBP) operator is used for feature extraction and dimension reduction,while smooth l₀ norm is used to solve the model,accelerate the recognition process,and improve its efficiency.Finally,the parallel implementation process of the proposed model is discussed and the corresponding results are given.Experimental results on FKP Database established by The Hong Kong Polytechnic University show that the proposed method achieved competitive high recognition results and has good practical application value.

Key words: computer application, finger-knuckle-print recognition, sparse representation, smooth l₀ Norm, parallel implementation

中图分类号:

TP391

翟懿奎, 甘俊英, 徐颖, 曾军英. 快速稀疏表示指背关节纹识别及其并行实现[J]. 吉林大学学报(工学版), 2012, 42(增刊1): 350-355.

ZHAI Yi-kui, GAN Jun-ying, XU Ying, ZENG Jun-ying. Fast sparse representation for finger-knuckle-print recognition and it's parallel implementation[J]. 吉林大学学报(工学版), 2012, 42(增刊1): 350-355.

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