基于部首合并的自适应文字切分制作笔迹纹理

目前笔迹鉴别预处理阶段的纹理图像制作通常采用压缩行距及字间距的方式,由于样本中存在随机出现的过长笔画,导致制作出的纹理不均匀,以致影响最终的笔迹鉴别结果。提出了一种基于偏旁部首合并的自适应文字切分算法,实验表明采用此算法能够对粘连的文字进行有效切分并且能够确保分字的正确,从而制作出的纹理更加均匀,能够有效提高笔迹鉴别的效果。

Adaptive characters segmentation based on radical merging for texture

At present,texture image for handwriting identification is commonly made by compressing row and word spaces.Long strokes randomly appearing in the sample will thus lead to uneven texture images,and then affect the result of handwriting identification.An adaptive characters segmentation algorithm based on radical merging is presented.Experiments show that the algorithm can effectively segment the conglutinate characters and create a more uniform texture image.The results of handwriting identification can be ...