IET Biometrics / 2024 / Article / Tab 1 / Research Article
Impact of Occlusion Masks on Gender Classification from Iris Texture Table 1 Summary of works on gender classification from iris.
Citation Year Spectrum Image type Occlusion masks Best accuracy (%) [1 ] 2015 NIR Normalized ✓ 91.33 [35 ] 2015 NIR Normalized ✗ 89.74 [30 ] 2016 NIR Normalized ✓ 91.00 [9 ] 2016 NIR Both ✗ 69 Normalized, 85.7 periocular [15 ] 2017 NIR Periocular ✗ 83.17 [10 ] 2017 NIR/VIS Periocular ✗ 89.59 [16 ] 2017 VIS Periocular ✗ 90.20 [31 ] 2017 NIR Normalized ✓ 84.66 [14 ] 2017 NIR Both ✓ 66 Normalized, 80 periocular [17 ] 2018 VIS Periocular ✗ 90.00 [18 ] 2018 NIR Periocular ✗ 87.26 [11 ] 2018 NIR Periocular ✗ 85.93 [12 ] 2018 NIR Periocular ✗ 85.90 [19 ] 2019 NIR Periocular ✗ 85.40 [32 ] 2019 NIR Normalized ✓ 95.45 [4 ] 2019 NIR Both ✓ 63.40 Normalized, 80.80 periocular [20 ] 2019 NIR Periocular ✗ 94.63 [21 ] 2019 NIR/VIS Periocular ✗ 86.89 [22 ] 2019 NIR/VIS Periocular ✗ 91.90 [23 ] 2019 NIR Periocular ✗ 91.90 [36 ] 2019 NIR Normalized ✓ 94.66 [24 ] 2019 VIS Periocular ✗ 90.15 [25 ] 2019 NIR Both ✗ 66.67 Normalized, 93.34 face [26 ] 2020 VIS Periocular ✗ 92.00 [27 ] 2020 NIR/VIS Periocular ✗ 81.59 [37 ] 2020 NIR Normalized ✗ 96.00 [38 ] 2021 VIS Periocular ✗ 75.10 [39 ] 2021 NIR/VIS Periocular ✗ 75.72 [40 ] 2023 NIR Both ✗ 98.92 Normalized, 73.96 periocular [41 ] 2023 VIS Periocular ✗ 98.71
Works that do not use the NIR spectrum have not been thoroughly included. Image type “Both” means experiments were performed with normalized and periocular images.