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Fusion of Contour Feature and Edge Texture Information for Palmprint Recognition

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Advances in Image and Graphics Technologies (IGTA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 525))

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Abstract

A single character cannot describe palmprint features accurately and affect recognition results. To solve this problem, a palmprint recognition method based on fusion of contour feature and edge texture information is proposed. Firstly, mean filter is used to decompose palmprint images to obtain low frequency layer and high frequency layer. Next, the block-based idea is utilized in the two layer images, where gray histogram is used to extract counter features from the low frequency layer, at the same time differential box counting is used to extract texture information from the high frequency layer. Then, these obtained features are fused in order to further improve recognition accuracy. Finally, a common Chi-square measure is used to measure the simlarity. Experimental results on PolyU palmprint database are compared with traditional palmprint recognition algorithm, the proposed method can obtain 99.56% recognition accuracy, the time of feature extraction and matching is only 55.641ms, the effectiveness of the method is proved by lower algorithm complexity and faster speed.

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Author information

Authors and Affiliations

  1. College of Information Engineering, Qingdao University, Qingdao, China

    Gang Wang, Weibo Wei, Zhenkuan Pan, Danfeng Hong & Mengqi Jia

Authors
  1. Gang Wang
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  2. Weibo Wei
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  3. Zhenkuan Pan
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  4. Danfeng Hong
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  5. Mengqi Jia
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Corresponding author

Correspondence to Weibo Wei .

Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences Instute of Automation, Beijing, China

    Tieniu Tan

  2. Beijing Jiaotong University, Beijing, China

    Qiuqi Ruan

  3. Tsinghua University, Beijing, China

    Shengjin Wang

  4. Tsinghua University, Beijing, China

    Huimin Ma

  5. Chinese Academy of Sciences, Beijing, China

    Kaichang Di

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© 2015 Springer-Verlag Berlin Heidelberg

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Wang, G., Wei, W., Pan, Z., Hong, D., Jia, M. (2015). Fusion of Contour Feature and Edge Texture Information for Palmprint Recognition. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_31

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  • DOI: https://doi.org/10.1007/978-3-662-47791-5_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47790-8

  • Online ISBN: 978-3-662-47791-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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