Human Face Recognition under Varying Illumination Condition Using Wavelet Transform

Digital Image Processing (DIP) is a rapidly evolving field with blooming applications inScience and Engineering. The accuracy of human face recognition system is mostly affected by varying lighting conditions. To overcome the illumination invariant problems, decomposition method is used. At various scales and frequencies the facial features are extracted by multiresolution property of Discrete Wavelet Transform (DWTs). The wavelet sub bands are used to represent well-lit face images. Fusion of match scores depends on low and high frequency which is based on the human face representation to improve the accuracy in varying lighting conditions. For obtaining better performance in human face recognition under different illumination conditions, here this paper contributes via adaptive face recognition by decomposing the images using wavelet transform for image quality.