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Humans are said to unintentionally trace handwriting sequences in their brains based on handwriting experiences when recognizing written text. The performance of handwriting recognition systems is dependent on the features extracted from the word image. A large body of features exists in the literature, but no method has yet been proposed to identify the most promising of these, other than a straightforward comparison based on the recognition rate. We examined a large set of algorithmsfatcat:4qjn4xzopfdajird5viokgpi54