Face Recognition In Low Lighting Conditions Using Fisherface Method And CLAHE Techniques

Abstract

Face recognition is a biometric identification system that uses facial images as its input which is usually used in the field of human identity recognition. The accuracy of face recognition system still relies on good image quality, especially in image lighting conditions. We proposed a face recognition system that deals with facial images in low light conditions, by adding image enhancement with contrast adaptive histogram equalization (CLAHE) contrast techniques to create good quality lighting images. From the experiment conducted, we have shown that our approach improved face recognition system performed well at the brightness level of -80 with the accuracy of 76.92%.