[1]YANG Huixian,FU Yu,ZENG Jinfang,et al.Face recognition based on orthogonal Log-Gabor binary pattern[J].CAAI Transactions on Intelligent Systems,2019,14(2):330-337.[doi:10.11992/tis.201708015]
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Face recognition based on orthogonal Log-Gabor binary pattern
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
14
Number of periods:
2019 2
Page number:
330-337
Column:
学术论文—机器感知与模式识别
Public date:
2019-03-05
- Title:
- Face recognition based on orthogonal Log-Gabor binary pattern
- Keywords:
- face recognition; Log-Gabor filter; collaborative representation; orthogonality; sparse coding; binary pattern; single sample; multi scale
- CLC:
- TP391.4
- DOI:
- 10.11992/tis.201708015
- Abstract:
- To eliminate the effect of varying illumination on face recognition, a novel method of face recognition based on orthogonal log-Gabor binary pattern (OLGBP) is proposed in this paper. First, the algorithm performs log-Gabor transform on the samples in the orthogonal direction. Then the log-Gabor feature image is decomposed into real and imaginary parts, and the OLGBP feature vectors are constructed by fusing them into a binary pattern in the same scale at different directions. These feature vectors then form a collaboratively representative dictionary D. Finally, sparse coefficients are obtained by collaboratively representing these feature vectors with the test samples based on the dictionary D, and the test samples are classified by reconstruction of errors. The results for experiments performed on AR, Extend Yale B, and CAS-PEAL-R1 face databases show that the OLGBP algorithm has good effect on a single sample with illumination variation, and the effectiveness of the algorithm is verified.
- References:
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Last Update:
2019-04-25