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面向质量退化的车牌字符分割方法
Character segmentation approach for poor license plate image
【摘要】 为克服字符分割方法应对质量退化车牌时存在的鲁棒性差、效率低等不足,提出质量退化车牌字符分割方法。给出单行车牌结构特征的形式化表达;采用投影法实现字符粗分割,提出粘连字符的判断准则及去除粘连算法;给出单行车牌结构模式的定义及其求解算法,提出断裂字符和粘连字符恢复方法;给出误检和缺失字符位置推算方法。实验结果表明,该方法可有效处理因质量退化导致的车牌字符粘连、断裂、缺失等问题,在车牌字符分割精准度上有良好的表现。
【Abstract】 To overcome the disadvantages of poor robustness and low efficiency in dealing with quality degraded license plates,a license plate character segmentation method was proposed.A formalized expression of characteristic of single-line license plate was given.Characters were segmented roughly using projection method and adjoined characters were found and divided.Structure pattern of single-line license plate was defined and calculated,which was used to recover the fracture characters.A structure pattern-based prediction method was presented for misdetected positioning or lost characters.Experimental results show that the proposed method can effectively segment adjoined,fracture or lost characters in low quality license plate image.In addition,the proposed method shows good performance in segmentation accuracy.
【Key words】 license plate character segmentation; license plate character structure pattern; adhesion character; fracture character; projection method;
- 【文献出处】 计算机工程与设计 ,Computer Engineering and Design , 编辑部邮箱 ,2019年11期
- 【分类号】U491;TP391.41
- 【被引频次】3
- 【下载频次】215