Detection Of Feature In A Face Image Using Digital Image Processing Using Matlab

Abstract

In the paper, an enhanced a daboost algorithm is suggested for enhancement of performance of system. In this algorithm, the eigenvectors are computed for the facial space & classification is implemented. In the classification, we underwent the process of learning for training & testing. On that basis, the facial expressions are identified. As from the outcomes of session in base paper, the outcomes are obtained from reboost detection. The outcomes are provided for false alarm rate & Detection rate. The suggested methodology is implemented & performance for detection rate is also improvised for false alarm rate also. The rte of detection is also enhanced & false alarm rate is minimized. For presenting the contrast, a GUI window is presented in which the contrast is displayed.