数字字符切分中小数点处理

Decimal point processing in numeric characters segmentation

字符切分的任务是把整个字符串图像中的每个字符切割出来,使其成为单个数字的图像。字符切分是数字字符识别中的关键步骤之一。在图像预处理后,由于小数点粘连造成字符粘连,无法正确切分字符。针对小数点造成的粘连情况,考虑小面积剔除法将小数点去除,保证字符切分正常。小面积剔除法首先将图像中各个部分加以统计得到其面积,然后根据面积的不同确定阈值将小数点与数字字符区分开来,剔除小数点。经过处理之后的图像再进行预处理,使用直线投影切分法将字符切分提取出来。实验表明该方法效果良好。

The purpose of character segmentation is to cut out entire character string and turn it into a single digital image. Character segmentation is one of the key steps in the digital character recognition. After preprocessing,due to adhesions caused by a decimal point, character segmentation cannot bc done correctly.ln order to solve the problem of adhesions by decimal, proposing a method by excluding small areas to remove the decimal point. First,we get the statistical area of the various parts of the image,and then determine the threshold to distinguish the decimal from numeric characters,finally exclude the decimal point. After that,we preprocess the image,use linear projection segmentation to pick out the character. The experiment indiclrtc that the method works well.