C005

SPARSE REPRESENTATION WITH PRINCIPAL COMPONENT ANALYSIS IN FACE RECOGNITION

Mr. Yo Ming Chun, Dr. Chong Siew Chin, Dr. Chong Lee Ying

AFFILIATION
Faculty of Information Science & Technology, Multimedia University

Description of Invention

Face recognition is one of the most reliable biometric technologies because of its easy and non-intrusive method during acquisition procedure. Recently, sparse representation method has been widely used in face recognition. It boosts the research of sparsity-based pattern recognition among the researchers. This research method utilizes the fusion of Principal Component Analysis (PCA) and Sparse Representation Classification (SRC) to enhance the accuracy of face recognition.