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Fingerprint-Based Identity Authentication and Digital Media Protection in Network Environment

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Abstract

Current information security techniques based on cryptography are facing a challenge of lacking the exact connection between cryptographic key and legitimate users. Biometrics, which refers to distinctive physiological and behavioral characteristics of human beings, is a more reliable indicator of identity than traditional authentication system such as passwords-based or tokens-based. However, researches on the seamless integration biometric technologies, e.g., fingerprint recognition, with cryptosystem have not been conducted until recent years. In this paper, we provide an overview of recent advancements in fingerprint recognition algorithm with a special focus on the enhancement of low-quality fingerprints and the matching of the distorted fingerprint images, and discuss two representative methods of key release and key generation scheme based on fingerprints. We also propose two solutions for the application in identity authentication without trustworthy third-party in the network environment, and application in digital media protection, aiming to assure the secrecy of fingerprint template and fingerprint-based user authentication.

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Authors and Affiliations

  1. Center for Biometrics and Security Research, Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R. China

    Jie Tian, Liang Li & Xin Yang

  2. Graduate University of the Chinese Academy of Sciences, Beijing, 100039, P.R. China

    Liang Li

Authors
  1. Jie Tian
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  2. Liang Li
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  3. Xin Yang
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Corresponding author

Correspondence to Jie Tian.

Additional information

Regular Paper: Supported by the National Science Fund for Distinguished Young Scholars of China under Grants No. 60225008, the National Natural Science Foundation of China under Grants No. 60332010 and No. 60575007, the Young Scientists’ Fund of National Natural Science Foundation of China under Grant No.60303022, the Natural Science Foundation of Beijing under Grant No.4052026, and the 242 National Information Security Plan.

Jie Tian received the Ph.D. degree (with honor) in artificial intelligence from the Institute of Automation, Chinese Academy of Sciences (CAS) in 1992. From 1994 to 1996, he was a postdoctoral fellow at the Medical Image Processing Group, University of Pennsylvania. Since 1997, he has been a professor in the Institute of Automation, CAS. His research interests are the medical image process and analysis, pattern recognition, etc. He has published more than 50 papers in academic journals and international conferences. He received National Science & Technology Advance Award in 2003 and 2004 respectively. He is the reviewer of “Mathematical Reviews” and a senior member of IEEE Computer Society.

Liang Li received his B.S. degree from Northwestern Polytechnical University, in 2002. Now he is a Ph.D. candidate in CAS. His research interests include pattern recognition, machine learning, and image processing and their applications in biometrics.

Xin Yang received the B.S., M.S., and Ph.D. degrees in intelligent instrument from Tianjin University, China in 1994, 1997, and 2000 respectively. From 2001 to 2003, she was a postdoctoral fellow at the Biometric Research Group, Key Laboratory of Complex Systems and Intelligence Science, Institute of Automation, CAS. Since 2003, she has been an associate professor. Her research interests are bioinformatics, pattern recognition, etc.

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Tian, J., Li, L. & Yang, X. Fingerprint-Based Identity Authentication and Digital Media Protection in Network Environment. J Comput Sci Technol 21, 861–870 (2006). https://doi.org/10.1007/s11390-006-0861-7

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  • DOI: https://doi.org/10.1007/s11390-006-0861-7

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