Real-Time Implementation of Face Recognition Algorithms on DSP Chip

  • Seong-Whan Lee
  • Sang-Woong Lee
  • Ho-Choul Jung
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2688)


This paper describes a prototype implementation of face recognition and verification algorithms in a stand-alone system using the TI TMS320C6711 chip. This system is organized to capture an image sequence, find the features of face in the images, and recognize and verify a person. The current implementation uses the methods of PCA(Principal Component Analysis) and SVM(Support Vector Machines). We have made several tests on video data, and measured the performance and the speed of the proposed system in real environment. Finally, the result has confirmed us that the proposed system can be applied to various applications which are impossible in conventional PC-based systems.


Support Vector Machine Face Recognition Face Image Face Detection Training Stage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    Scholkopf, B., Burges, C., Smola, A.: Advances in Kernel Methods-Support Vector Learning. MIT Press (1998)Google Scholar
  2. [2]
    Turk, M., Pentland, A.: Eigenfaces for Recognition. Journal of Cognitive Neuroscience, 3 1 (1991) 77–86CrossRefGoogle Scholar
  3. [3]
    Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines. Cambridge University Press (2000)Google Scholar
  4. [4]
    Genov, R., Cauwenberghs, G.: Kerneltron: Support Vector ‘Machine’ in Silicon. Pattern Recognition with Support Vector Machines, Lecture Notes in Computer Science, 2388 (2002) 120–134CrossRefGoogle Scholar
  5. [5]
    IBM ZISC036 Data Sheet,
  6. [6]
    Sukthankar, R., Stockton, R.: Argus: The Digital Doorman. IEEE Intelligent Systems, 16 2 (2001) 14–19CrossRefGoogle Scholar
  7. [7]
    Yang, F., Paindavoine, M., Abdi, H.: Parallel Implementation on DSPs of a Face Detection Algorithm. Proc. of International Conference on the Software Process, Chicago, USA (1998)Google Scholar
  8. [9]
    Gilbert, J. M., Yang, W.: A Real-Time Face Recognition System Using Custom VLSI Hardware. Proc. of Computer Architectures for Machine Perceptron Workshop, New Orleans, USA (1993) 58–66Google Scholar
  9. [10]
    Texas Instruments: TMS320C6000 Tools: Vector Table and Boot ROM Creation (Rev. C). Application Report SPRA544C (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Seong-Whan Lee
    • 1
  • Sang-Woong Lee
    • 1
  • Ho-Choul Jung
    • 1
  1. 1.Center for Artificial Vision ResearchKorea UniversitySeoulKorea

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