Real-time implementation of face recognition algorithms on DSP chip

  • Authors:
  • Seong-Whan Lee;Sang-Woong Lee;Ho-Choul Jung

  • Affiliations:
  • Center for Artificial Vision Research, Korea University, Seoul, Korea;Center for Artificial Vision Research, Korea University, Seoul, Korea;Center for Artificial Vision Research, Korea University, Seoul, Korea

  • Venue:
  • AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
  • Year:
  • 2003

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Abstract

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.