Abstract
Fisher's discreminant analysis achieved the robust recognition independent of the lighting condition. This technique, however, uses the pixel of the image as an element for the distinction calculation, so calculation load becomes huge. Moreover, the number of registration images becomes enormous depending on the range of a change in lighting. This study then proposes a method to represent a face by 12x12 mosaics instead of picture elements, and the mosaic elements, where changes in the brightness become large by the shadow as change in the lighting angle becomes large, are removed from the calculation elements. Moreover, the number of dictionary registration reduced by complementing the dictionary of a middle angle which are sandwiched by adjustment angles. As a result, this method realizes an average of 94.6% of the high rate of recognition over the change of four 45 degrees directions.
