Author Affiliations
1College of Automation and Electronic Information, Xiangtan University, Xiangtan, Hunan 411105, China2Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, Hunan 421002, Chinashow less
Fig. 1. MDLDLC algorithm flow chart
Fig. 2. Correspondence between dictionary atom and profile vector
Fig. 3. Comparative analysis of LLC, LCLE-DL and MDLDLC algorithms. (a) LLC algorithm; (b) LCLE-DL algorithm; (c) proposed MDLDLC algorithm
Fig. 4. Face images with different resolutions from the ORL database. (a) 56 pixel×46 pixel; (b) 28 pixel×23 pixel; (c) 14 pixel×12 pixel
Fig. 5. Face images with different resolutions from the Extended Yale B database. (a) 64 pixel×64 pixel; (b) 32 pixel×32 pixel; (c) 16 pixel×16 pixel
Fig. 6. Face images with different resolutions from the AR database. (a) 50 pixel×40 pixel; (b) 25 pixel×20 pixel; (c) 12 pixel×10 pixel
Fig. 7. Face images with different resolutions from PIE database. (a) 64 pixel×64 pixel; (b) 32 pixel×32 pixel; (c) 16 pixel×16 pixel
Fig. 8. Effect of parameter selection of α and β on the different datasets. (a) ORL database; (b) Extended Yale B database; (c) AR database; (d) PIE database
Fig. 9. Effect of number of atoms on the different datasets. (a) ORL database; (b) Extended Yale B database; (c) AR database; (d) PIE database
Algorithm | Recognition rate |
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D-KSVD | 86.10±2.63 | LCKSVD1 | 86.52±1.73 | LCKSVD2 | 87.10±2.23 | LCLE-DL | 90.42±1.56 | SLatDPL | 90.80±1.04 | MRDL | 91.75±1.25 | ResNet | 84.00±1.24 | MDLDLC | 94.62±0.81 |
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Table 1. Recognition rates of different algorithms on the ORL database unit: %
Algorithm | Recognition rate |
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D-KSVD | 72.54±1.38 | LCKSVD1 | 73.13±1.24 | LCKSVD2 | 75.50±1.36 | LCLE-DL | 70.87±1.27 | SLatDPL | 86.70±1.26 | MRDL | 87.86±1.43 | ResNet | 86.48±1.25 | MDLDLC | 91.60±0.90 |
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Table 2. Recognition rates of different algorithms on the Extended Yale B database unit: %
Algorithm | Recognition rate |
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D-KSVD | 66.17±1.23 | LCKSVD1 | 74.73±1.25 | LCKSVD2 | 75.60±1.30 | LCLE-DL | 71.21±1.23 | SLatDPL | 84.47±1.45 | MRDL | 82.36±1.52 | ResNet | 85.63±1.23 | MDLDLC | 85.39±1.12 |
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Table 3. Recognition rates of different algorithms on the AR database unit: %
Algorithm | Recognition rate |
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D-KSVD | 62.31±0.98 | LCKSVD1 | 65.72±0.90 | LCKSVD2 | 66.20±0.75 | LCLE-DL | 84.22±0.56 | SLatDPL | 91.57±0.58 | MRDL | 95.49±0.45 | ResNet | 69.00±0.74 | MDLDLC | 97.16±0.36 |
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Table 4. Recognition rates of different algorithms on the PIE database unit: %