Face Identification Gray Image Large Dataset using Matlab

Abstract:

The paper describes improved face detection methods for grayscale and color images using the combined cascade of classifiers and skin color segmentation. The combined cascade with proposed face candidatesrsquo; verification method allows achieving one of the best detection rates on CMU test set and a high processing speed suitable for a video flow processing. Itrsquo;s also shown that the mixture of color spaces is more efficient during the skin color segmentation than the application of one color space. A lot of experiments are made to choose rational parameters for the developed face detection system in order to improve the detection rate, false positivesrsquo; number and systemrsquo;s speed.