| 基于SSDA匹配的车牌字符识别中问题的研究 |
| |
| 引用本文： | 徐剑峰,吴一全,周建江.基于SSDA匹配的车牌字符识别中问题的研究[J].应用科技,2006,33(9):37-40,47. |
| |
| 作者姓名： | 徐剑峰 吴一全 周建江 |
| |
| 作者单位： | 南京航空航天大学,通信与信息学院,江苏,南京,210016 |
| |
| 摘 要： | SSDA算法（序贯相似性检测）是针对一般模板匹配算法计算量大而提出的减少计算量的误差累计算法．但它同样需要依据图像之间的像素点对进行计算，从而对字符图像的变形敏感．在从事车牌自动识别课题研究中应用SSDA算法进行字符识别过程中，为了减小字符图像变形，在字符倾斜校正、字符二值化、字符切分和字符归一化过程中都围绕其加以改进或提出新算法．
|
| 关 键 词： | SSDA模板匹配 字符倾斜校正 字符二值化 字符归一化 字符切分 |
| 文章编号： | 1009-671X（2006）09-0037-04 |
| 收稿时间： | 2006-05-15 |
| 修稿时间： | 2006年5月15日 |
Research on SSDA-based character recognition of car license plate |
| |
| XU Jian-feng,WU Yi-quan,ZHOU Jian-jiang.Research on SSDA-based character recognition of car license plate[J].Applied Science and Technology,2006,33(9):37-40,47. |
| |
| Authors: | XU Jian-feng WU Yi-quan ZHOU Jian-jiang |
| |
| Abstract: | The sequential similarity detection algorithm(SSDA) is applied to image matching because the calculating work is considerable by using the algorithm of common template matching.But the SSDA still needs to compute the sum of errors of the corresponding pixels between two images,so the SSDA is sensitive to distortion of characters.In this paper,the SSDA algorithm is improved in order to reduce the distortion in the following fields:character skewness correction,character binarization and character normalization. |
| |
| Keywords: | SSDA character skewness correction and segmentation character binarization character normalization character segmentation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
