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3D palmprint recognition using shape index representation and fragile bits

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Abstract

Recent years have witnessed a growing interesting in developing automatic palmprint recognition methods. Most of the previous works have concentrated on two dimensional (2D) palmprint recognition in the past decade. However, the shape information is lost in 2D plamprint images. What’s more, 2D plamprint recognition is not robust enough in practice since its data could be easily counterfeited or contaminated by noise. Consequently, three dimensional (3D) palmprint recognition is treated as an important alternative road to both enhance the performance and robustness of current available palmprint recognition systems. In this paper, we first explore geometrical information of 3D palmprint data by employing shape index formulation, from which Gabor wavelet features are then extracted. Furthermore, we first discover that by incorporating fragile bits information, the performance of coding strategy related 3D recognition method can be further improved. Experiments conducted on the public available 3D plamprint database validate that our method can obtain the highest recognition performance among the state-of-the-art methods estimated.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China, under Grant Nos. 61402143 and 61300084, by the Natural Science Foundation of Zhejiang Province, under Grant No Q14F020040 and by the School Scientific Research Fund, under Grant No. KYS055613014.

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Authors and Affiliations

  1. School of Computer Science and Technology, Hangzhou Dianzi University, Xiasha Higher Education Zone, Hangzhou, 310018, China

    Bing Yang, Xueqin Xiang & Xiaohua Wang

  2. Computer Science College, Zhejiang University, Yuquan Road, Xihu District, Hangzhou, 310007, China

    Duanqing Xu

  3. China Jiliang University, Xueyuan Street, Xiasha Higher Education Zone, Hangzhou, 310018, China

    Xiaohua Wang

  4. Computer Science and Technology College, Dalian University of Technology, Linggong Road, Ganjingzi District, Dalian, 116024, China

    Xin Yang

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  1. Bing Yang
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  2. Xueqin Xiang
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  3. Duanqing Xu
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  4. Xiaohua Wang
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  5. Xin Yang
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Correspondence to Bing Yang.

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The authors declare that they have no competing financial interests.

Author contributions

Bing Yang and Xueqin Xiang prepared the manuscript, Duanqing Xu provided new ideas about 3D palmprint recognition, Xiaohua Wang arranged the experiments and structure of and manuscript, Xin Yang focused on algorithm implementation. All authors read and approved the manuscript.

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Yang, B., Xiang, X., Xu, D. et al. 3D palmprint recognition using shape index representation and fragile bits. Multimed Tools Appl 76, 15357–15375 (2017). https://doi.org/10.1007/s11042-016-3832-1

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  • DOI: https://doi.org/10.1007/s11042-016-3832-1

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