Laser & Optoelectronics Progress, Volume. 55, Issue 6, 061004(2018)
Face Recognition Based on Improved Gradient Local Binary Pattern
Figures & Tables(17)
Fig. 1. Sobel operator. (a) Horizontal direction; (b) vertical direction; (c) 45° direction; (d) 135° direction
Fig. 8. (a) Training sample; (b) AR expression subset; (c) AR illumination subset; (d) AR partial occlusion subset A; (e) AR partial occlusion subset B
Fig. 9. (a) Training sample; (b) CAS-PEAL expression subset; (c) CAS-PEAL background subset; (d) CAS-PEAL accessory subset
Table 1. Recognition rate on AR database of different algorithms%
View tableTable 1. Recognition rate on AR database of different algorithms%
Algorithm Facial expression subset Illumination subset Partial occlusion subset A Partial occlusion subset B LBP 93.33 92.33 91.67 72.67 LDP 96.33 93.00 90.00 71.67 CSLBP 96.67 95.00 87.67 73.00 LGBP 94.67 99.00 94.33 90.33 IGLBP 99.67 99.00 98.67 94.33
Table 2. Recognition rate on CAS-PEAL database of different algorithms%
View tableTable 2. Recognition rate on CAS-PEAL database of different algorithms%
Algorithm Background subset Expression subset Accessory subset LBP 91.00 89.00 91.00 LDP 97.33 95.00 86.00 CSLBP 93.25 87.25 90.25 LGBP 97.52 91.25 93.00 IGLBP 99.75 96.25 97.00
Table 3. Recognition rate on YALE database of different algorithms%
View tableTable 3. Recognition rate on YALE database of different algorithms%
Algorithm Number of sample 2 3 4 5 LBP 73.25 77.66 78.00 78.33 LDP 78.00 81.75 82.34 84.75 CSLBP 79.37 82.06 83.00 85.72 LGBP 85.32 90.09 92.33 93.25 IGLBP 86.61 92.05 93.57 94.53
Table 4. Results on CAS-PEAL background subset of different algorithms after adding different variances of Gaussian noise%
View tableTable 4. Results on CAS-PEAL background subset of different algorithms after adding different variances of Gaussian noise%
Algorithm σ =0σ =0.0001σ =0.0002σ =0.0003σ =0.0004δ LBP 91.00 36.25 16.00 9.25 6.75 92.58 LDP 97.33 95.00 93.25 90.50 87.75 9.84 CSLBP 93.25 90.25 83.52 76.25 65.25 30.03 LGBP 97.52 96.25 95.75 94.00 93.25 4.38 IGLBP 99.75 99.50 99.25 99.00 98.50 1.25
Table 5. Results on CAS-PEAL expression subset of different algorithms after adding different variances of Gaussian noise%
View tableTable 5. Results on CAS-PEAL expression subset of different algorithms after adding different variances of Gaussian noise%
Algorithm σ =0σ =0.0001σ =0.0002σ =0.0003σ =0.0004δ LBP 89.00 28.50 13.50 7.25 6.25 92.98 LDP 95.00 91.25 87.25 82.98 78.00 17.89 CSLBP 87.25 83.50 79.25 74.75 63.25 27.51 LGBP 91.25 90.50 89.00 88.50 86.75 4.93 IGLBP 96.25 92.50 92.00 91.25 90.75 5.71
Table 6. Results on CAS-PEAL accessory subset of different algorithms after adding different variances of Gaussian noise%
View tableTable 6. Results on CAS-PEAL accessory subset of different algorithms after adding different variances of Gaussian noise%
Algorithm σ =0σ =0.0001σ =0.0002σ =0.0003σ =0.0004δ LBP 91.00 26.25 14.00 8.50 6.50 92.86 LDP 86.00 83.50 79.25 74.75 71.67 16.66 CSLBP 90.25 97.25 81.00 74.75 63.00 30.19 LGBP 93.00 91.25 90.50 89.75 87.65 5.75 IGLBP 97.00 94.75 94.50 93.50 92.75 4.90
Table 7. Feature dimensions and average time of different algorithms on YALE database
View tableTable 7. Feature dimensions and average time of different algorithms on YALE database
Algorithm Feature dimension T 1 /msT 2 /msLBP 16384 30.3 23.2 LDP 16384 439.1 22.9 CSLBP 1024 23.6 2.5 LGBP 655360 883.5 102.6 IGLBP 16384 94.5 23.0
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Huixian Yang, Yong Chen, Fei Zhang, Tongtong Zhou. Face Recognition Based on Improved Gradient Local Binary Pattern[J]. Laser & Optoelectronics Progress, 2018, 55(6): 061004
Paper Information
Category: Image Processing
Received: Oct. 9, 2017
Accepted: --
Published Online: Sep. 11, 2018
The Author Email: Yong Chen ( 279474385@qq.com)
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