Zhiyong Tao, Yalei Hu, Sen Lin. Finger Vein Recognition Based on Improved AlexNet[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081005
- Laser & Optoelectronics Progress
- Vol. 57, Issue 8, 081005 (2020)
Fig. 1. Image collection method. (a) Direct light collection; (b) light reflection collection
Fig. 2. Finger vein pretreatment process
Fig. 3. Gray scale linear interpolation schematic
Fig. 4. Finger vein effect after CLAHE algorithm processing. (a) Original image; (b) image enhancement
Fig. 5. AlexNet model structure
Fig. 6. Schematic of SPP
Fig. 7. Im-AlexNet model structure renderings
Fig. 8. Curves of JY_DB. (a) Loss curves; (b) recognition accuracy curves
Fig. 9. Curves of SD_DB. (a) Loss curves; (b) recognition accuracy curves
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Table 1. AlexNet model structure parameters
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Table 2. Im-AlexNet model structure parameters
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Table 3. Finger vein datasets division
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Table 4. Experimental parameters
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Table 5. Comparison of training time before and after network improvement
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Table 6. Comparison of recognition accuracy before and after network improvement
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Table 7. Comparison of recognition accuracy of different image feature algorithms on SD_DB
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