Image smooth magnification segmentation based on curve expression

被引：2

作者：

Chen, Xiao-Feng ^{[1
]}

Pan, Bao-Chang ^{[1
]}

Meng, Sheng-Lin ^{[1
]}

机构：

[1] Guangdong Univ Technol, Dept Informat Engn, Guangzhou 510006, Guangdong, Peoples R China

来源：

PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年

关键词：

license plate segmentation; image magnification; curve expression; Cardinal curve; projection segmentation attributes;

D O I：

10.1109/ICMLC.2008.4620903

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Propose some algorithms about image smooth magnification and character segmentation, aiming at the diffficult factor of little license plate region segmentation, in license plate recognition. In the algorithm, describe the relationship between image and surface, with Cardinal curve construction and sampling methods, magnify image smoothly in transverse and longitudinal direction, take image binarization with iterative method, make longitudinal projection, calculate and modify projection segmentation attributes, segment license plate characters. The experiments shows that the algorithm magnify image, wipe off noise at the same time, and realize license plate character segmentation more easily.

引用

页码：2899 / 2904

页数：6