Handwritten Farsi character recognition using evolutionary fuzzy clustering

In this paper, a Fuzzy clustering method based on Fuzzy c-Means clustering(FCM) and Evolutionary Strategies (ES) is proposed for handwritten Farsi character recognition. Experimental result showed that not only this algorithm can represent accurately the ambiguity of handwritten characters but also it outperforms the classical crisp based methods especially when word recognition is the main concern.