Laser & Optoelectronics Progress, Volume. 55, Issue 11, 111008(2018)
Face Recognition Based on Multi-Directional Weber Gradient Histograms
Figures & Tables(13)
Fig. 2. Counting process. (a) Original coding; (b) noise coding 1; (c) noise coding 2
Fig. 5. AR face database. (a) Training sample; (b) illumination subset; (c) facial expression subset; (d) partial occlusion subset A; (e) partial occlusion subset B
Fig. 7. Recognition rates for different face databases in different block modes. (a) YALE face database; (b) AR face database with partial occlusion subset B; (c) ORL face database
Table 1. Recognition rates for YALE face database%
View tableTable 1. Recognition rates for YALE face database%
Algorithm Sample number 1 2 3 4 5 HOG 94.00 94.67 84.67 93.33 95.33 WLD 93.33 89.33 88.00 96.67 95.33 WLBP 94.67 96.00 93.33 98.00 98.33 HWOG 95.00 97.00 95.67 99.00 98.67 IGLBP 96.67 98.00 93.33 99.33 98.67 DWLD 94.33 95.33 92.00 98.00 96.00 MWGH 98.00 99.33 97.33 99.33 99.33
Table 2. Recognition rates for AR face database%
View tableTable 2. Recognition rates for AR face database%
Algorithm Illumination subset Expression subset Partial occlusion subset A Partial occlusion subset B HOG 91.33 90.33 69.00 49.00 WLD 91.67 92.00 90.67 78.67 WLBP 94.00 95.33 91.67 80.00 HWOG 95.33 95.00 94.00 85.67 IGLBP 99.67 99.00 98.67 94.33 DWLD 93.00 94.67 92.00 83.67 MWGH 99.33 100.00 99.33 94.67
Table 3. Recognition rates for ORL face database%
View tableTable 3. Recognition rates for ORL face database%
Algorithm Sample number 2 3 4 5 HOG 87.94 92.36 94.17 96.00 WLD 87.14 92.14 95.23 96.80 WLBP 90.20 93.82 96.26 97.12 HWOG 91.38 95.74 98.15 98.61 IGLBP 90.81 94.46 96.50 97.95 DWLD 89.35 94.26 96.66 97.20 MWGH 93.90 97.21 98.80 99.26
Table 4. Results from noise-added experiment for AR light database%
View tableTable 4. Results from noise-added experiment for AR light database%
Method Normalized variance of Gaussian white noise ψ 0 0.0001 0.0002 0.0003 0.0004 HOG 91.33 64.73 49.20 40.20 33.73 63.07 WLD 91.67 81.67 54.27 37.13 25.47 72.22 WLBP 94.00 85.25 60.33 47.80 39.38 58.11 HWOG 95.33 88.75 65.43 51.28 46.55 51.17 IGLBP 99.67 93.33 90.67 85.33 80.00 19.74 DWLD 93.33 91.87 86.67 75.93 64.20 31.21 MWGH 99.33 97.07 92.67 80.40 69.87 28.94
Table 5. Feature dimension and time-consuming of different algorithms on YALE face database
View tableTable 5. Feature dimension and time-consuming of different algorithms on YALE face database
Method Feature dimension T 1 /msT 2 /msHOG 810 2.8 3.3 WLD 12000 14.3 4.7 WLBP 11800 10.5 4.7 HWOG 1322 8.3 3.4 IGLBP 16384 33.4 4.9 DWLD 12000 14.5 4.7 MWGH 13080 17.2 4.8
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Huixian Yang, Chang Xu, Jinfang Zeng, Xia Tao. Face Recognition Based on Multi-Directional Weber Gradient Histograms[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111008
Paper Information
Category: Image Processing
Received: Apr. 16, 2018
Accepted: Jun. 5, 2018
Published Online: Aug. 14, 2019
The Author Email: Chang Xu (875080392@qq.com)
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