Fig. 1. Segmentation schematic of AR-LGC operator

Fig. 2. Coding process for improved asymmetric LGC

Fig. 3. Schematic of image fusion coding

Fig. 4. Extraction effects of various algorithms before and after adding Gabor wavelet. (a) Raw face image; (b) LBP operator before adding Gabor wavelet; (c) AR-LGC operator before adding Gabor wavelet; (d) multi-feature fusion coding before adding Gabor wavelet; (e) LBP operator after adding Gabor wavelet; (f) AR-LGC operator after adding Gabor wavelet; (g) proposed method

Fig. 5. Flow chart of face recognition

Fig. 6. Recognition rate curve under different number of blocks

Fig. 7. Treatment effect and process of proposed method

Fig. 8. Part of images from different face databases. (a) Yale face database; (b) ORL face database

Fig. 9. Part of images from different face databases. (a) FERET face database; (b) CMU-PIE face database

Table 1. Feature dimension and average recognition rate under different number of blocks

Table 2. Recognition rate of each algorithm in YALE face database unit: %

Table 3. Recognition rate of each algorithm in ORL face database unit: %

Table 4. Recognition rate of each algorithm in FERET face database unit: %

Table 5. Recognition rate of each algorithm in CMU-PIE face database unit: %

Table 6. Average recognition time of each algorithm in CMU-PIE face database unit: ms