WCSE 2015
ISBN: 978-981-09-5471-0 DOI: 10.18178/wcse.2015.04.054

Face Recognition System on Raspberry Pi

Olegs Nikisins, Rihards Fuksis, Arturs Kadikis, Modris Grei

Abstract— 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%.

Index Terms— Face recognition, Raspberry Pi, Local Binary Pattern.

Olegs Nikisins, Rihards Fuksis, Arturs Kadikis, Modris Grei
Institute of Electronics and Computer Science, LATVIA

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Cite: Olegs Nikisins, Rihards Fuksis, Arturs Kadikis, Modris Grei, "Face Recognition System on Raspberry Pi," 2015 The 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering (WCSE 2015-IPCE), pp. 322-326, Moscow, Russia, April 15-17, 2015.