Fusion of several preprocessing approaches for improving the accuracy of face recognition systems in poor lighting conditions

摘要

Nowadays, face recognition is one of the most interesting and promising research area in the image processing field. At the moment, most of public places such as airports, stores, pilgrimage sites, etc. have regulatory equipment that good performance of them can affect the efficiency of controlling and providing security in those places. Although face recognition is one of the most popular biometric techniques for identifying a person from a digital image, there are challenges in the robust implementation of face recognition algorithm in poor illumination condition. In this paper a new preprocessing algorithm is proposed which enhances the quality of poor illuminated image and increases recognition rate in the face recognition systems.