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Recognition for Ocular Fundus Based on Shape of Blood Vessel

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Graphics Recognition. Ten Years Review and Future Perspectives (GREC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3926))

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Abstract

A new biometric technology-recognition ocular fundus based on shape of blood vessel skeleton-is addressed in this paper. The gray scale image of ocular fundus is utilized to extract the skeletons of its blood vessels. The cross points on the skeletons are used to match two fundus images. Experiments show high recognition rate, low recognition rejection rate as well as good universality, exclusiveness and stability of this method.

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Author information

Authors and Affiliations

  1. Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin University, Changchun, 130012, China

    Zhiwen Xu, Xiaoxin Guo, Xu Chen & Zhengxuan Wang

  2. College of Computer Science and Technology, Jilin University, Changchun, 130012, China

    Zhiwen Xu, Xiaoxin Guo, Xu Chen & Zhengxuan Wang

  3. The First Clinical Hospital, Jilin University, Changchun, 130012, China

    Xiaoying Hu

Authors
  1. Zhiwen Xu
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  2. Xiaoxin Guo
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  3. Xiaoying Hu
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  4. Xu Chen
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  5. Zhengxuan Wang
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Editor information

Editors and Affiliations

  1. Department of Computer Science, City University of Hong Kong, Hong Kong, China

    Wenyin Liu

  2. Computer Vision Center, Universitat Autònoma de Barcelona, 08193, Bellaterra (Barcelona), Spain

    Josep Lladós

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© 2006 Springer-Verlag Berlin Heidelberg

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Xu, Z., Guo, X., Hu, X., Chen, X., Wang, Z. (2006). Recognition for Ocular Fundus Based on Shape of Blood Vessel. In: Liu, W., Lladós, J. (eds) Graphics Recognition. Ten Years Review and Future Perspectives. GREC 2005. Lecture Notes in Computer Science, vol 3926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11767978_12

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  • DOI: https://doi.org/10.1007/11767978_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34711-8

  • Online ISBN: 978-3-540-34712-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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