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Real-Time Rolled Fingerprint Construction Based on Key-Column Extraction

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Biometric Recognition (CCBR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8232))

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Abstract

Fingerprint identification is an important biometric method for personal authentication. Rolled fingerprint can provide much more information than flat fingerprint, so the method is needed for construct a rolled fingerprint from a plain fingerprint sequence. Based on Key-column extraction, a real-time image mosaicking algorithm is proposed for rolled fingerprint construction. Compared to other construction methods, experimental results show that the proposed algorithm leads to a better performance, especially when the finger is rolling with a fast speed.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Zhejiang University of Technology, No.288, Liuhe Road, Hangzhou, Zhejiang, China

    Yongliang Zhang, Shanshan Fang, Yingjie Bian & Yuanhong Li

Authors
  1. Yongliang Zhang
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  2. Shanshan Fang
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  3. Yingjie Bian
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  4. Yuanhong Li
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Editor information

Editors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, 100190, Beijing, P.R. China

    Zhenan Sun

  2. Institute of Computing Technology, Chinese Academy of Sciences, 100190, Beijing, China

    Shiguan Shan

  3. School of Computer Science and Technology, Shandong University, 250101, Jinan, China

    Gongping Yang  & YiLong Yin  & 

  4. Software Engineering Institute, Tsinghua University, 100084, Beijing, China

    Jie Zhou

  5. School of Software, Beihang University, 100083, Beijing, China

    Yunhong Wang

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© 2013 Springer International Publishing Switzerland

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Zhang, Y., Fang, S., Bian, Y., Li, Y. (2013). Real-Time Rolled Fingerprint Construction Based on Key-Column Extraction. In: Sun, Z., Shan, S., Yang, G., Zhou, J., Wang, Y., Yin, Y. (eds) Biometric Recognition. CCBR 2013. Lecture Notes in Computer Science, vol 8232. Springer, Cham. https://doi.org/10.1007/978-3-319-02961-0_25

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  • DOI: https://doi.org/10.1007/978-3-319-02961-0_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02960-3

  • Online ISBN: 978-3-319-02961-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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