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Conference Paper
Face Recognition based on Binary Images for Link Selection
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- Authors
- Sanghun Lee, Soochang Kim, Young-hoon Kim, Chulhee Lee
- Issue Date
- 2014-01
- Citation
- International Conference on Computer Vision Theory and Applications (VISAPP) 2014, pp.1-5
- Language
- English
- Type
- Conference Paper
- Abstract
- A face recognition system which utilizes binary facial images and a bitwise similarity calculation method is proposed for link selection between mobile devices. As a pre-processing step, normalized differences of Gaussian and facial region estimation were used to handle illumination conditions. Binary images were used to extract facial feature sets that did not exceed 700 bytes. Scale pyramids and XNOR+AND similarity scores were used for fast feature matching between reference data sets and pre-processed test data. The proposed method achieved about an 85.9% recognition rate with a database that consisted of 135 facial images with various head poses, obtained by enrolling one reference data set per subject. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.
- KSP Keywords
- Data sets, FAST feature, Face recognition system, Facial image, Illumination conditions, Link selection, Mobile devices, Pre-processing, Recognition Rate, Region estimation, Science and technology