A Hardware-Directed Face Recognition System Based on Local Eigen-analysis with PCNN

  • C. Siva Sai Prasanna
  • N. Sudha
  • V. Kamakoti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3316)


A new face recognition system based on eigenface analysis on segments of face images is discussed in this paper. The eigenfaces are extracted using principal component neural networks. The proposed recognition system can tolerate local variations in the face such as expression changes and directional lighting. Further, the system can be easily mapped onto the hardware.


Face Recognition Recognition Rate Face Image Training Image Hardware Architecture 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • C. Siva Sai Prasanna
    • 1
  • N. Sudha
    • 1
  • V. Kamakoti
    • 1
  1. 1.VLSI Laboratory, Department of Computer Science and EngineeringIndian Institute of Technology MadrasChennaiIndia

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