Document Type : Research Paper
Author
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Abstract
in this paper, the system consists of many steps, the first step includes the
histogram equalization, detection, feature extraction, and classification. At first, the data
set of a face image is segmented into four segments, after that Local Binary Pattern (LBP)
algorithm is performed to extract features for each segment. The best feature vectors for
all persons are stored in a new dataset in the next stage in order to be used in the testing
phase. Finally, the accuracy rate of performance is evaluated to prove its robustness.
Experiments show satisfying results and more accuracy achieved by the paper.
Keywords
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