From: Human recognition based on retinal images and using new similarity function
Accuracy (%) | Number of images | Number of subjects | Identification or verification mode | Running time (s) | Method | |
---|---|---|---|---|---|---|
Verification | Identification | |||||
Dehghani et al. [1] | 300 | 60 | Identification | - | 0.06 | 99.75 |
3,600 | 99.78 | |||||
Farzin et al. [8] | 300 | 60 | Identification | - | - | 99 |
Xu et al. [13] | - | - | Identification | - | 277.8 | 98.5 |
Ortega et al. [14] | 90 | 83 | Verification | 0.155 | - | 100 |
Tabatabaee et al. [16] | 108 | 27 | Identification | - | - | - |
Shahnazi et al. [17] | 400 | 40 | Identification | Â | 3.34 | 100 |
Islam et al. [30] | 18 | 6 | Identification | - | - | 100 |
Sukumaran et al. [31] | 40 | 40 | Identification | - | 3.1 | 98.33 |
Barkhoda et al. [32] | 360 | 60 | Identification | - | - | 98 |
Barkhoda et al. [33] | 440 | 40 | Identification | - | - | 99.75 |
Proposed method (corners and similarity function) | 480 | 80 | Identification (verification) | 0.07 | 5.3 | 100 (100) |
100 (100) |