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A Review of Recent Advances in Identity Identification Technology Based on Biological Features

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Big Data (Big Data 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 945))

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Abstract

With the development of social informatization technology, the problems of individual information security are becoming serious. Nowadays identity identification has been required essentially in government and business field. In this paper, we summarize and analyze the identification principles and identification methods based on biometrics, including the present researches fingerprint, palmprint, iris, human face, vein, gait and signature, and make comparative analysis of the differences of the error recognition rate, stability, acquisition difficulty and counterfeiting degree. Finally, the prospects of biometric recognition technologies are discussed additionally.

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Author information

Authors and Affiliations

  1. School of Information Science and Technology, Northwest University, Xi’an, China

    Jianan Tang, Pengfei Xu & Weike Nie

  2. School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China

    Yi Zhang

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Ruyi Liu

Authors
  1. Jianan Tang
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  2. Pengfei Xu
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  3. Weike Nie
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  4. Yi Zhang
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  5. Ruyi Liu
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Corresponding author

Correspondence to Weike Nie .

Editor information

Editors and Affiliations

  1. School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China

    Zongben Xu

  2. Xidian University, Xi'an, China

    Xinbo Gao

  3. Xidian University, Xi'an, Shaanxi, China

    Qiguang Miao

  4. Chinese Academy of Sciences, Beijing, China

    Yunquan Zhang

  5. Zhejiang University, Hangzhou, China

    Jiajun Bu

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© 2018 Springer Nature Singapore Pte Ltd.

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Tang, J., Xu, P., Nie, W., Zhang, Y., Liu, R. (2018). A Review of Recent Advances in Identity Identification Technology Based on Biological Features. In: Xu, Z., Gao, X., Miao, Q., Zhang, Y., Bu, J. (eds) Big Data. Big Data 2018. Communications in Computer and Information Science, vol 945. Springer, Singapore. https://doi.org/10.1007/978-981-13-2922-7_12

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  • DOI: https://doi.org/10.1007/978-981-13-2922-7_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2921-0

  • Online ISBN: 978-981-13-2922-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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