An embedded system of face recognition based on ARM and HMM

  • Authors:

  • Yanbin Sun;Lun Xie;Zhiliang Wang;Yi An

  • Affiliations:

  • Department of Electronic Information Engineering, School of Information Engineering, University of Science and Technology, Beijing, China and School of Information, Hebei Polytechic University, Ta ...;Department of Electronic Information Engineering, School of Information Engineering, University of Science and Technology, Beijing, China;Department of Electronic Information Engineering, School of Information Engineering, University of Science and Technology, Beijing, China;School of Information, Hebei Polytechic University, Tangshan, Hebei, China

  • Venue:
  • ICEC'07 Proceedings of the 6th international conference on Entertainment Computing
  • Year:
  • 2007

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Abstract

Face recognition is important for many applications, including security check-up, judicial administration, visual monitoring and intelligent interaction. Current commercial and research systems use software implementation and require a dedicated computer for the image-processing task--a large, expensive, and complicated-to-use solution. In order to make face recognition ubiquitous, the system complexity, size, and price must be substantially reduced. This paper presents an ARM-based embedded system for face recognition. The float image-pretreatment algorithm was redesigned to enable highly image-pretreatment implementation for ARM9 microprocessor. The system uses a CMOS digital imaging sensor OV7640, a S3C2410A processor and the Linux Operation System for the image processing. A face recognition algorithm based on the HMM is presented. The software can be run in intelligent mobile telephone or PDA directly. This new design is suitable for face detection and recognition, thus making an important step towards low-cost and portable systems.