Face Identification Based on Contrast Limited Adaptive Histogram Equalization (CLAHE)

This paper proposes a face identification method based on Contrast Limited Adaptive Histogram Equalization (CLAHE) robust to facial expressions, occlusion and specially to illumination changes. Based on Eigenphases algorithm for feature extraction, the Principal Components Analysis (PCA) and the Phase Spectrum was used as feature extraction stage, and Support Vector Machine (SVM) as a classifier. The results were obtained using a database that includes face images of 120 subjects (60 males and 60 females) with illumination changes, facial expressions and partial occlusion. The proposed method provides results with a correct recognition up to 97%.