【摘要】 充分利用车牌字符的局部与整体特征,提出了字符串的车牌相似度概念.并在此基础上提出了一种新的车牌字符切分算法.该算法将搜索连通区域切分与投影切分结合起来,通过聚类分析,遍历各种切分的可能情况,最终按照车牌相似度最大的字符串完成字符切分.实验结果表明,该算法有很好的可行性和有效性.更多还原

【Abstract】 The local and global characteristic of characters of the license plate is fully used and the concept of the similarity between a character string and the license plate is introduced,on the basis of which a new algorithm for the character segmentation of the license plate is proposed.Using connected-component searching and projection,this algorithm enumerates all the possible segmentations.And then it analyses the segmented characters using clustering.Finally,it selects a character string that has the maximal similarity to the license plate to segment the character.Experimental results show that the algorithm has good feasibility and effectiveness.更多还原