Illumination Processing Recognition of Face Images Based on Improved Retinex Algorithm

In order to change the defects of the similar traditional Retinex algorithm that it is easy to appear the "Halo" phenomenon in the illumination image acquisition process, we proposed a study on the face images recognition under the illumination condition based on the improved Retinex Algorithm, which is based on the Retinex Theory Algorithm defects and analyzes the brightness, contrast rate of the face images as well as the design of the illumination background in the improved Retinex, and draw the conclusion that this algorithm can overcome the Halo phenomenon to a certain extent when occurs the illumination mutation. In order to verify the effectiveness of the algorithm, we did a simulation to the face images in the Yale B face database finally and studied the comparison test of similar algorithms in different images. The result shows that the improved Retinex algorithm can be a good solution to the Halo problem, reduce the time complexity and can be applied to the face recognition under the condition of strong illumination changes, the recognition rate of which is higher, and the illumination robustness is stronger.