Student Monitoring System Of Our Lady Of Fatima University Using Face Recognition
Christopher John Alolor, El Cid John Legaspi, Pedro Legaspi II, John Lloyd Padecio, Alexander Reyes, Arjimson Santiano, Mary Regina B. Apsay, Marissa G. Chua, Florocito S. Camata
Keywords: Face Recognition, Image Processing, Luxand FaceSDK, Facial Features
Abstract: Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come from the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and the design of human-computer interface, etc. The rapid development of face recognition is due to a combination of factors: active development of algorithms, the availability of large databases of facial images, and a method for evaluating the performance of face recognition algorithms. The system covers any departments, agencies or companies which require personal identification and security to their employees. The face recognition system covers multiple face photos, matching of faces, head rotations, detects 66 facial feature points (eyes, eyebrows, mouth and nose) and all data are placed in a database. Additional enrolments will be required upon various changes in registered faces. The said system only limits to personal identification which contains certain fields about the registered user, it cannot detect the skin color and age of a person and the system is not a video- based face recognition system. This system does not expect to solve all the issues in face recognition, such as extreme facial expression, wearing on the face, great age discrepancy and extreme lightning condition and without frontal face information.
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