Face Recognition in Non-Uniform Illumination Conditions Using Lighting Normalization and SVM

An efficient face recognition scheme is developed to recognize face in color images with non-uniform illumination conditions. The proposed scheme comprises two phases, namely face detection and face recognition. For the face detection phase, a lighting normalization function and an isosceles triangle approach are utilized to detect facial regions accurately. For the recognition phase, a SVM scheme is adopted to uniquely identify facial characteristics. The primary advantage of the proposed face recognition system is its ability to handle different facial image sizes under non-uniform illumination conditions. Moreover, the system performs better than PCA algorithms in term of success rate. Key-Words: Face detection; Face recognition; Triangle-based segmentation; Lighting normalization function; SVM; Non-uniform illumination conditions