An Online EHW Pattern Recognition System Applied to Face Image Recognition

  • Authors:
  • Kyrre Glette;Jim Torresen;Moritoshi Yasunaga

  • Affiliations:
  • University of Oslo, Department of Informatics, P.O. Box 1080 Blindern, 0316 Oslo, Norway;University of Oslo, Department of Informatics, P.O. Box 1080 Blindern, 0316 Oslo, Norway;University of Tsukuba, Graduate School of Systems and Information Engineering, 1-1-1 Ten-ou-dai, Tsukuba, Ibaraki, Japan

  • Venue:
  • Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
  • Year:
  • 2009

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Abstract

An evolvable hardware (EHW) architecture for high-speed pattern recognition has been proposed. For a complex face image recognition task, the system demonstrates (in simulation) an accuracy of 96.25% which is better than previously proposed EHW architectures. In contrast to previous approaches, this architecture is designed for online evolution. Incremental evolution and high level modules have been utilized in order to make the evolution feasible.