Abstract: A system, method and computer program product for automatically identifying coordinates of facial features in digital images. The facial images are detected and pupil coordinates are calculated. First, face identification method is applied. Then, the centers of the pupils are identified. The image is rotated, scaled and the portion of the image is cut out so that the pupils are located on the horizontal line and are located at fixed coordinates. Subsequently an original image with facial features can be identified.

Abstract: A system, method and computer program product for face recognition in digital images containing portraits or images of human faces. The facial images are detected and pupil coordinates are calculated. A facial image is converted into a black and white image. A rectangle containing the face is identified. Then, pupil coordinates are determined. A rectangle of a pre-defined size is cut out from the image so the pupils are located at pre-defined coordinates. External lighting effects are reduced and an image template is generated by calculating sets of values of different image points.

Abstract: A system, method and computer program product for correction and enhancement of digital images containing portraits or images of human faces by automatically detecting imperfections in an original facial image and correcting them in order to enhance the original image quality. The imperfections can be various skin blemishes, birth marks, pimples, freckles, wrinkles, etc. The facial images are detected and the imperfections are recognized. Then, the imperfections are automatically corrected by selecting a most suitable skin color using a histogram of distribution of color values on a face. A white balance and appropriate colors are set for an image. The corrected image is combined with the original image for preservations of details.