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. 2021 May 27;24(4):1451–1473. doi: 10.1007/s10044-021-00991-z

Table 4.

Recognition performance (%) of proposed face recognition techniques with SGEF features on different resolution face images

Size of the face image Symbolic Approach and Analysis Nearest Neighbor Support Vector Machine Probabilistic Neural Network
AR ORL LFW VISA Face AR ORL LFW VISA Face AR ORL LFW VISA Face AR ORL LFW VISA Face
64 × 64 95.75 99.75 97.22 96.39 97.67 100 98.06 94.07 94.67 89.65 92.30 79.33 92.92 100 98.04 89.28
100 × 100 95.53 100 95.13 96.45 95.68 100 98.09 95.72 88.67 94.25 92.30 86.77 92.92 100 98.04 89.28
120 × 120 94.63 100 91.81 96.51 95.91 100 98.15 95.83 84.66 88.51 92.30 82.64 92.92 100 98.04 89.28
150 × 150 94.32 100 98.47 96.61 95.92 100 98.15 95.89 79.33 82.75 84.61 68.59 92.92 100 98.04 89.28
250 × 250 94.67 100 95.97 96.66 96.13 100 98.13 95.89 72.67 55.17 69.23 57.024 92.92 100 98.04 89.28

Bold values denotes best recognition rate