对于字符分割问题,竖直投影分割是较早得到应用的方法,它对于不粘连的字符分割效果还是较理想的。由于手写字符大多比较不工整,常出现书写连笔或笔画的英语翻译

对于字符分割问题,竖直投影分割是较早得到应用的方法,它对于不粘连的字符

对于字符分割问题,竖直投影分割是较早得到应用的方法,它对于不粘连的字符分割效果还是较理想的。由于手写字符大多比较不工整,常出现书写连笔或笔画搭在另一个字符上的情况,导致字符粘连在一起,此时用竖直投影分割法会出现字符分割不完整、错误分割、笔画断裂等现象,进而导致识别率不理想。而滴水算法可以解决上面竖直投影分割法对于简单粘连字符分割出现的问题
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结果 (英语) 1: [复制]
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For character segmentation, vertical projection segmentation is an earlier method, and it is ideal for non-adhesive character segmentation. Since most of the handwritten characters are not neat, there is often a situation where the writing is continuous or the strokes are placed on another character, causing the characters to stick together. At this time, the vertical projection segmentation method will cause incomplete character segmentation, wrong segmentation, and broken strokes. and other phenomena, resulting in an unsatisfactory recognition rate. The dripping algorithm can solve the problem of the above vertical projection segmentation method for simple sticky character segmentation
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结果 (英语) 2:[复制]
复制成功!
For the problem of character segmentation, vertical projection segmentation is an early method, and its effect is ideal for non adhesive character segmentation. Because most handwritten characters are not neat, it often happens that the writing strokes or strokes are placed on another character, resulting in the adhesion of characters. At this time, the vertical projection segmentation method will lead to incomplete character segmentation, wrong segmentation, stroke fracture and other phenomena, resulting in unsatisfactory recognition rate. The dripping algorithm can solve the problem of the above vertical projection segmentation method for simple adhesive character segmentation
正在翻译中..
结果 (英语) 3:[复制]
复制成功!
For character segmentation, vertical projection segmentation is an early applied method, and it is still ideal for non-cohesive character segmentation. Because most handwritten characters are not neat, it often happens that writing Lian Bi or strokes overlap with another character, which leads to characters sticking together. At this time, the phenomenon of incomplete character segmentation, wrong segmentation, broken strokes and so on will occur with vertical projection segmentation method, which will lead to unsatisfactory recognition rate. The dripping algorithm can solve the problem of the above vertical projection segmentation method for simple conglutinated character segmentation.
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