Wavelet based illuminant invariant face recognition — A review

The illumination variation problem is one of the well-known problems in face recognition in uncontrolled situation. This paper aims to give a detailed survey of state of the art 2D face recognition algorithms using wavelets for feature extraction. Existing problems in face recognition are covered and possible solutions are suggested. This review covers the techniques that attempt to solve the illumination problem by studying the visible light images in which face appearance has been altered by varying illumination. This paper also discusses the active techniques that aim to obtain images of face modalities invariant to environmental illumination. A comparative experimental results, merits and demerits of various wavelet methods have been presented.