Average Fuzzy Direction Based Handwritten Chinese Characters Recognition Approach

Since handwritten Chinese characters´ style is uncertain and differs as people differ, this article brings forward a new Average Fuzzy Direction Code based on weight, so as to conquer traditional fuzzy arithmetic´s shortcoming that is without enough generalization capability; At the same time it improves association rules in data mining and applies it to the process of handwritten Chinese characters´ generalization and picking up of their abstract attributes. Thus exact denotation of handwritten Chinese characters is resolved, and simultaneously it picks up the handwritten Chinese characters´ characteristic and mines improved association rules, and further achieves the purpose of handwritten Chinese characters´ quick recognition. Therefore it resolves traditional pattern identification´s problem of poor adaptability.