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In this book, a new high performance face recognition system based on matching the colour pixel statistics is introduced. A pre-processing phase is introduced and applied to segment faces from the background. Furthermore, a dedicated image equalization method is introduced and implemented to minimize the illumination problems of the images for further processing. The histogram of the segmented face image as pixel statistics feature is used for face recognition by cross correlating the histogram of a given face and the histograms of faces in the database. Alternatively the probability...

Face recognition is emerging as an active research area spanning many research branches such as image processing, pattern recognition, computer vision, and neural networks. Faces are one of the biometrics that humans often use in order to recognize individuals. Researchers have shown significant improvements in computing capability over the few decades, and nowadays enable to simulate similar recognitions automatically. In addition, face recognition technology has many commercial applications that range from static matching of controlled format photographs such as photos on identification...

After 9/11 tragedy, governments in all over the world started to look more seriously to the levels of security they have at their airports and borders. Countries annual budgets were increased drastically to have the most recent technologies in identification, recognition and tracking of suspects. The demand growth on these applications helped researchers to be able to fund their research projects. One of most common biometric recognition techniques is face recognition. Although face recognition is not as accurate as the other recognition methods using iris or fingerprints, it still grabs huge...