Laser & Optoelectronics Progress, Volume. 58, Issue 16, 1610022(2021)
Gender Classification of Iris Image Based on Residual Network
Figures & Tables(11)
Fig. 6. Dataset expansion images. (a) 90° left rotation; (b) 90° right rotation; (c) flip upside down
Fig. 7. Images of different processes. (a) Positioning process; (b) standardization process; (c) integration process
Fig. 8. Performance curves under different parameters. (a) Loss rate; (b) accuracy
Table 1. Partition of experimental data
View tableTable 1. Partition of experimental data
Dataset type Proportion of data /% Data Training dataset 70 11200 Validation dataset 20 3200 Test dataset 10 1600
Table 2. Experimental results under different parameters
View tableTable 2. Experimental results under different parameters
Epoch Batch size Optimizer Time /s ACC /% 20 64 SGD 310 87.56 20 64 Adam 334 89.12 20 64 Adagrad 406 88.36 20 128 SGD 180 88.61 20 128 Adam 209 91.53 20 128 Adagrad 228 88.43 20 256 SGD 103 89.21 20 256 Adam 127 91.40 20 256 Adagrad 139 89.13 40 64 SGD 605 89.23 Epoch Batch size Optimizer Time /s ACC /% 40 64 Adam 701 91.91 40 64 Adagrad 823 90.34 40 128 SGD 346 92.62 40 128 Adam 384 94.60 40 128 Adagrad 420 93.38 40 256 SGD 182 91.57 40 256 Adam 208 93.36 40 256 Adagrad 234 93.80 60 64 SGD 850 89.35 60 64 Adam 943 91.86 60 64 Adagrad 1100 90.68 60 128 SGD 432 93.12 60 128 Adam 510 94.30 60 128 Adagrad 623 93.70 60 256 SGD 225 93.83 60 256 Adam 274 93.62 60 256 Adagrad 328 93.70
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Fusheng Yu, Jiang Yu, Yuanfu Lu, Zhisheng Zhou, Guangyuan Li. Gender Classification of Iris Image Based on Residual Network[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610022
Paper Information
Category: Image Processing
Received: Aug. 5, 2020
Accepted: Oct. 10, 2020
Published Online: Aug. 16, 2021
The Author Email: Jiang Yu (yujiang@ynu.edu.cn), Yuanfu Lu (yf.lu@siat.ac.cn)
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