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Handwritten character recognition based on frequency variations in characters

机译:基于字符频率变化的手写字符识别

摘要

A system for recognizing handwriting. A handwritten character is captured as an image of black pixels and white pixels. The image is partitioned into segments, each of which having a pixel ratio of a total number of black pixels in the segment to a total number of black pixels in the image. A reference character has segments corresponding to the image segments. Each reference character segment has a value range of a pixel ratio of a total number of black pixels in the segment of the reference character to a total number of black pixels in the reference character. It is ascertained that the pixel ratio of more than a predetermined number of segments in the image are within the value range of the pixel ratio of the corresponding segments of the reference character, from which, the handwritten character is recognized as the reference character.
机译:一种用于识别笔迹的系统。手写字符被捕获为黑色像素和白色像素的图像。图像被分成多个段,每个段具有段中黑色像素总数与图像中黑色像素总数的像素比。参考字符具有与图像段相对应的段。每个基准字符段的值范围是基准字符段中的黑色像素的总数与基准字符中的黑色像素的总数的像素比。确定图像中大于预定数目的片段的像素比率在参考字符的相应片段的像素比率的值范围内,从中,手写字符被识别为参考字符。

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