Face recognition system on Raspberry Pi

نویسندگان

  • Olegs Nikisins
  • Rihards Fuksis
  • Arturs Kadikis
  • Modris Greitans
چکیده

An embedded face recognition system based on the Raspberry Pi single-board computer is proposed in this paper. Face recognition system consists of face detection and face localization using Haar feature-based cascade classifier. Face features are extracted using weighted Local Binary Pattern algorithm. Developed system performs one full face analysis in 110 ms. Comparison of two biometric samples is performed in 2 ms. The proposed embedded face recognition system was tested on FERET database and achieves accuracy of CMC: 99.33% and EER: 1%.

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تاریخ انتشار 2015