A study on face identification for an outdoor identity verification system

Abstract

As one of the most successful applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past several years. One of the many uses of face recognition is building access control where a person has one or several photos associated to an Identification Document (also known as identity verification). This paper focuses on the use of face recognition methods in the context of an Identity Verification System to be used under natural light. Experimental results are presented using the most important detection and recognition algorithms taking into consideration several problems: ageing, face rotation, sensor used and illumination. Some pre-processing techniques are proposed using face alignment and auto calibration of camera parameters. The results using these pre-processing algorithms are then compared and discussed.