Face recognition system on Raspberry PiApril 20th, 2015 | Posted by in Research
Our research group has published a new paper on face recognition on Raspberry Pi in International Conference on Information Processing and Control Engineering (ICIPCE 2015) in Moscow, Russia.
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
Full paper is available here [pdf]
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