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A Multi-model Biometric Image Acquisition System

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Biometric Recognition (CCBR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9428))

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Abstract

Iris and face are two very popular biometrics features used for personal identification, and to acquire images of good quality is vital to assure the reliability of the recognition. It is especially challenging to acquire good-quality iris images in real time. We propose an innovative iris acquisition system to tackle some of the major difficulties in practice. The proposed multi-mode biometrics image acquisition (MMIA) system uses a single camera to capture the whole face image of the user, and then extracts the iris images. Thus it is able to provide images for both face and iris recognition. Meanwhile, in comparison to some commercial systems, MMIA system increased the working distance and capture volume, greatly reduces the user cooperation. Experiments show that MMIA provides satisfactory image quality and very quick corresponding speed.

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Author information

Authors and Affiliations

  1. School of Electronic and Iformation Engineering, Ningbo University of Technology, 89 Cuibai Road, Ningbo, 315010, Zhejiang, China

    Haoxiang Zhang

Authors
  1. Haoxiang Zhang
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Corresponding author

Correspondence to Haoxiang Zhang .

Editor information

Editors and Affiliations

  1. Civil Aviation University of China, Tianjin, China

    Jinfeng Yang

  2. and Technology, Tianjin Institute of Science, Tianjin, China

    Jucheng Yang

  3. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zhenan Sun

  4. Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

  5. Sun Yat-sen University, Guangzhou, China

    Weishi Zheng

  6. Tsinghua University, Beijing, China

    Jianjiang Feng

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Zhang, H. (2015). A Multi-model Biometric Image Acquisition System. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_61

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  • DOI: https://doi.org/10.1007/978-3-319-25417-3_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25416-6

  • Online ISBN: 978-3-319-25417-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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