Fuzzy-based recognition of human front faces using the trapezoidal membership function

A fuzzy-based recognition method of human front faces using the trapezoidal membership function is proposed. In the preprocessing step, we extract the face part from the background image by tracking face boundaries under the assumption that the face part is located in the center of a captured image with homogeneous background. Then based on the a priori knowledge of human faces we extract five normalized features. In the recognition step, we propose a fuzzy-based algorithm that employs a trapezoidal membership function that absorbs the variation of feature values of the same person. Computer simulation results with 80 test images of 20 persons show that the proposed method yields higher recognition rate than the conventional ones