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References in periodicals archive ?
Meanwhile, the face recognition technique enhances the functionality and security of the wireless network [9].
Most of the existing face recognition techniques used in controlled systems deteriorate in their performance when used in uncontrolled environments.
Today several different face recognition techniques are present each with a different approach; still there are challenges which need to be addressed.
Azeem, "A survey: linear and nonlinear PCA based face recognition techniques," International Arab Journal of Information Technology, vol.
Murtaza, "A survey: face recognition techniques under partial occlusion," IAJIT Issues, vol.
The accuracy results for the proposed AAPSO-SVM and the existing PSOSVM face recognition techniques, applied to the YALE and CASIA databases, with the different conditions, are shown in Table 2 and Figure 8.
We measured the t-test values for the accuracy between AAPSO-SVM and PSO-SVM face recognition techniques. There was not much variation in the t-test results; however, the t-test result shows that the proposed AAPSO-SVM is statistically significant and that it outperforms the PSO-SVM with the t-test result P < 0.05; P = 0.0265 for the Yale database and P = 0.0186 for the CASIA database.
The proposed face recognition technique is performed in three phases, feature extraction by PCA, adaptive acceleration particle swarm optimization (AAPSO), and parameters selection for SVM with AAPSO.