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Chinese Conference on Biometric Recognition

CCBR 2014: Biometric Recognition pp 288–300Cite as

A Brief Survey on Recent Progress in Iris Recognition

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8833))

Abstract

Great progress of iris recognition has been achieved in recent years driven by its wide applications in the world. This survey summaries the progress in iris image acquisition, segmentation, texture analysis, classification and cross-sensor recognition from 2008 to 2014. The core ideas of various methods and their intrinsic relationships are investigated to obtain an overview and insights in the development of iris recognition. The future research work to improve the usability, reliability and scalability of iris recognition systems is also suggested.

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Authors and Affiliations

  1. Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences(CASIA), No. 95, Zhongguancun East Road, Beijing, 100190, China

    Haiqing Li, Zhenan Sun, Man Zhang, Libin Wang, Lihu Xiao & Tieniu Tan

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  1. Haiqing Li
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  2. Zhenan Sun
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  3. Man Zhang
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  4. Libin Wang
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  5. Lihu Xiao
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  6. Tieniu Tan
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Editor information

Editors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, 100190, Beijing, China

    Zhenan Sun

  2. Institute of Computing Technology, Chinese Academy of Sciences, No.6 Kexueyuan South Road, P.O. Box 2704, 100190, HaiDian, Beijing, China

    Shiguang Shan

  3. School of Information Science and Engineering, Shenyang University of Technology, No.111, Shenliao West Road, Economic and Technological Development Zone, 110870, Shenyang, China

    Haifeng Sang  & Weiqi Yuan  & 

  4. Software Engineering Institute, Tsinghua University, No. 1 Tsinghua Yuan, Haidian District, 100084, Beijing, China

    Jie Zhou

  5. School of Computer Science and Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, 100191, Beijing, China

    Yunhong Wang

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Li, H., Sun, Z., Zhang, M., Wang, L., Xiao, L., Tan, T. (2014). A Brief Survey on Recent Progress in Iris Recognition. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_33

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  • DOI: https://doi.org/10.1007/978-3-319-12484-1_33

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