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Table 2 Results of different recognition methods

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

 

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)