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Lock-control system using face identification

  • Systems and Applications
  • Conference paper
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Audio- and Video-based Biometric Person Authentication (AVBPA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1206))

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Abstract

Security system is on the evolution as computer technology advances. One of the most important security is lock-control. This paper presents the PASSFACE system which is a lock-control system using face identification. There are three main processes in the face identification: 1) extraction of a face, 2) normalization of the size and the pose of the face image, 3) matching of facial features (eye, nose and mouth). In order to achieve high reliability, the normalization process searches inner corners of eyes and then applies affine transformation to the face image according to the positions of the detected inner corners. The matching is performed on facial features by template matching. Thresholds of the matching are determined by statistical estimation. When the system identifies a registered person, it unlocks the door. We have implemented this system and evaluated the usefulness of it.

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References

  1. R. Brunelli and T. Poggio: “Face Recognition: Features versus Templates”, IEEE Trans. Patt. Anal. & Mach. Intell., Vol.15, No.10, pp.1042–1052, 1993

    Google Scholar 

  2. R. Chellappa, C. L. Wilson and S. Sirohey:“Human and Machine Recognition of Faces: A Survey”, Proc. of IEEE, Vol.83, No.5, pp.704–740, 1995

    Google Scholar 

  3. Q. Chen, H. WU and M. Yachida,:“Face Detection by Fuzzy Pattern Matching”, Proc. 5th ICCV, pp.591–596, June 20–23, 1995.

    Google Scholar 

  4. A. Tsukamoto, C. Lee, and S.Tsuji:“Detection and Tracking of Human Face with Synthesized Templates”, Proc. ACCV, pp.183–186, 1994

    Google Scholar 

  5. M. Turk and A. Pentland:“Face Recognition without Features”, Proc. IAPR Workshop on Machine Vision Applications, pp.267–270, 1990

    Google Scholar 

  6. B. Miller:“Vital signs of identity”, IEEE SPECTRUM, pp.22–30, FEBRUARY, 1994

    Google Scholar 

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Author information

Authors and Affiliations

  1. Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma, 630-01, Nara, Japan

    Motonori Doi, Qian Chen, Kosuke Sato & Kunihiro Chihara

Authors
  1. Motonori Doi
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  2. Qian Chen
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  3. Kosuke Sato
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  4. Kunihiro Chihara
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Editor information

Josef Bigün Gérard Chollet Gunilla Borgefors

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© 1997 Springer-Verlag Berlin Heidelberg

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Doi, M., Chen, Q., Sato, K., Chihara, K. (1997). Lock-control system using face identification. In: Bigün, J., Chollet, G., Borgefors, G. (eds) Audio- and Video-based Biometric Person Authentication. AVBPA 1997. Lecture Notes in Computer Science, vol 1206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0016016

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  • DOI: https://doi.org/10.1007/BFb0016016

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62660-2

  • Online ISBN: 978-3-540-68425-1

  • eBook Packages: Springer Book Archive

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