Locating segmentation regions of connected handwritten digits
Segmentation of handwritten touching characters is an important research topic in Optical Character Recognition (OCR). Finding the initial candidate segmentation points is the first important step. A method is described to locate the initial candidate segmentation regions based on the boundary analysis of a character string. This method can reduce the redundant searching regions significantly. Therefore, the segmentation reliability can be increased and the segmentation time can be reduced.
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