Finding Significant Points for a Handwritten Classification Task
نویسندگان
چکیده
When objects are represented by curves in a plane, highly useful information is conveyed by significant points. In this paper, we compare the use of different mobile windows to extract dominant points of handwritten characters. The error rate and classification time using an edit distance based nearest neighbour search algorithm are compared for two different cases: string and tree representation.
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تاریخ انتشار 2004