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The face detection system and method attempts classification ofa test image before performing all of the kernel evaluations. Many Subimages are not faces and should be relatively easy to identify as such. Thus, the SVM classifier try to discard non-face images using as few kernel evaluations as possible using a cascade SVM classification. In the first stage, a score is computed for the first two Support vectors, and the score is compared to a threshold. If the score is below the threshold value, the Subimage is classified as not a face. If the score is above the threshold value, the cascade SVM classification function continues to apply more complicated decision rules, each time doubling the number of kernel evaluations, classi fying the image as a non-face (and thus terminating the pro cess) as soon as the test image fails to satisfy one of the decision rules. Finally, if the subimage has satisfied all inter mediary decision …