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Illumination-Robust Face Recognition Approach Using Enhanced Preprocessing and Feature Extraction

Title
Illumination-Robust Face Recognition Approach Using Enhanced Preprocessing and Feature Extraction
Authors
Kim, DJ[Kim, Dong-Ju]Shon, MK[Shon, Myoung-Kyu]Lee, S[Lee, Seungik]Kim, E[Kim, Eunsu]
DGIST Authors
Kim, DJ[Kim, Dong-Ju]; Shon, MK[Shon, Myoung-Kyu]
Issue Date
2016-04
Citation
Journal of Nanoelectronics and Optoelectronics, 11(2), 141-147
Type
Article
Article Type
Article
Keywords
BinsCenter-Symmetric Local Binary PatternsExtractionFace RecognitionFace Recognition SystemsFeature ExtractionFeature Extraction TechniquesIllumination VariationPattern RecognitionPattern Recognition SystemsPre-ProcessingPrincipal Component AnalysisRecognition AccuracyRecognition AlgorithmTwo-Dimensional Principal Component Analysis
ISSN
1555-130X
Abstract
This paper presents an enhanced facial preprocessing and feature extraction technique for an illuminationrobust face recognition system. Overall, the proposed face recognition system consists of a novel preprocessing descriptor, an illumination-robust feature descriptor, and a fusion module as sequential steps. In particular, the proposed system introduces an enhanced center-symmetric local binary pattern as preprocessing descriptor and a differential two-dimensional principal component analysis as feature descriptor to achieve performance improvement. To verify the proposed system, performance evaluation was carried out using various binary pattern descriptors and recognition algorithms on the extended Yale B database. As a result, the proposed system showed the best recognition accuracy of 99.03% compared to other approaches, and we confirmed that the proposed approach is effective for practical face recognition systems. © Copyright 2016 by American Scientific Publishers All rights reserved.
URI
http://hdl.handle.net/20.500.11750/2700
DOI
10.1166/jno.2016.1855
Publisher
American Scientific Publishers
Files:
There are no files associated with this item.
Collection:
Convergence Research Center for Future Automotive Technology1. Journal Articles


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