Abstract :
One of the most widely used areas in the field of image processing is face recognition based on
appearance characteristics, in this study to determine its similarity to the face, first we capture 200
samples of images of different people as RGB color mode and we convert this images to HSV color
mode and we quantized HSV color mode to 32 levels, then we obtains the symbols of each image with
the average color of each symbol. We calculate desired parameters based on angles places being created
symbols and average color spectrum and stored in our database. And then based on the angle between the
symbols used in the files, the desired level and parameters of color symbol Fuzzy set of files and
ultimately the level of similarity are obtained based on defined fuzzy rules. Based on the observed
experimental results, this method compared to determine similarity based on the symbol is 12 percent
more efficient.
