• Laser & Optoelectronics Progress
  • Vol. 58, Issue 16, 1610022 (2021)
Fusheng Yu1、2、3, Jiang Yu1、*, Yuanfu Lu2、3、**, Zhisheng Zhou2、3, and Guangyuan Li2、3
Author Affiliations
  • 1School of Information, Yunnan University, Kunming, Yunnan 650000, China
  • 2Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518000, China
  • 3Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China
  • show less
    DOI: 10.3788/LOP202158.1610022 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Process flowchart of ResNet model
    Fig. 1. Process flowchart of ResNet model
    Structure of ResNet50
    Fig. 2. Structure of ResNet50
    Structure of residual element
    Fig. 3. Structure of residual element
    Effect comparison between transfer learning and non-transfer learning
    Fig. 4. Effect comparison between transfer learning and non-transfer learning
    Different gender iris images. (a) Women; (b) male
    Fig. 5. Different gender iris images. (a) Women; (b) male
    Dataset expansion images. (a) 90° left rotation; (b) 90° right rotation; (c) flip upside down
    Fig. 6. Dataset expansion images. (a) 90° left rotation; (b) 90° right rotation; (c) flip upside down
    Images of different processes. (a) Positioning process; (b) standardization process; (c) integration process
    Fig. 7. Images of different processes. (a) Positioning process; (b) standardization process; (c) integration process
    Performance curves under different parameters. (a) Loss rate; (b) accuracy
    Fig. 8. Performance curves under different parameters. (a) Loss rate; (b) accuracy
    Accuracy comparison curves of three networks
    Fig. 9. Accuracy comparison curves of three networks
    Dataset typeProportion of data /%Data
    Training dataset7011200
    Validation dataset203200
    Test dataset101600
    Table 1. Partition of experimental data
    EpochBatch sizeOptimizerTime /sACC /%
    2064SGD31087.56
    2064Adam33489.12
    2064Adagrad40688.36
    20128SGD18088.61
    20128Adam20991.53
    20128Adagrad22888.43
    20256SGD10389.21
    20256Adam12791.40
    20256Adagrad13989.13
    4064SGD60589.23
    EpochBatch sizeOptimizerTime /sACC /%
    4064Adam70191.91
    4064Adagrad82390.34
    40128SGD34692.62
    40128Adam38494.60
    40128Adagrad42093.38
    40256SGD18291.57
    40256Adam20893.36
    40256Adagrad23493.80
    6064SGD85089.35
    6064Adam94391.86
    6064Adagrad110090.68
    60128SGD43293.12
    60128Adam51094.30
    60128Adagrad62393.70
    60256SGD22593.83
    60256Adam27493.62
    60256Adagrad32893.70
    Table 2. Experimental results under different parameters
    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
    Download Citation