AN AUTOMATIC HUMAN FACE RECOGNITION SYSTEM

In this paper, we develop an automatic human face recognition system i n which several well-known technologies, such as the affine transform, the histogram equalization, the spatial encoding, and the hit-miss tr ansform, are incorporated in a new form. The input image is optically correlated with stored database images consecutively by a shadow-casti ng correlator after necessary preprocessing steps digitally processed by a computer. A SHARP QA-1200 TFT computer projection panel is used a s two spatial light modulators (SLMs) for both the input and the datab ase images. The optical structure is optimized for practical use given the limitations of the present devices. 200 face images have been sto red in computer database. The system can now reach an recognition accu racy over 94% and a speed of 12 images/s. The tolerance ability to var ious distortion variances has been tested. (C) 1998 Elsevier Science L td. All rights reserved.