Using Two-Level Fuzzy Pattern Recognition in the Classification of Convex Quadrilateral

This paper is devoted to the classification of convex quadrilateral by using fuzzy pattern recognition. Based on the principle of threshold and maximum membership, the two-level fuzzy pattern recognition is applied to solve this problem and a new model of membership function and the corresponding algorithms are given. We shall see that the obtained membership is advantageous for the recognition, and the final adjustment is reasonable. Moreover, the results obtained in this paper may be valuable and significant for the automatic recognition in some practical applications.