Granular computing-based qualitative criterion cluster and the license plate characters’ recognition

Qualitative criterion (QC) plays an important role in human recognition, judgment, memory and evaluation fields. During a study of character recognition, a series of concepts, such as qualitative criterion cluster (QCC), criterion skeleton code (CSC) and criterion skeleton (CS), based on the principle of granular computing are proposed in this paper. In addition, a novel method is also proposed to recognize character based criterion skeletonpsilas pattern matching. At last, experimental results on license plate characterspsila recognition show that qualitative criterion cluster based granular computing is a valid method.