DocumentCode
2133151
Title
Research of Improving the Accuracy of License Plate Character Segmentation
Author
Qiao, Shuang ; Zhu, Yan ; Li, Xiufen ; Liu, Taihui ; Zhang, Baoxue
Author_Institution
Northeast Normal Univ., Changchun, China
fYear
2010
fDate
18-22 Aug. 2010
Firstpage
489
Lastpage
493
Abstract
In order to improve the accuracy of license plate character segmentation, this paper strengthens preprocessings before segmentation. In character binarization, use improved Bernsen method to reduce noise interference; use line-shape filter to remove plate frames. Then character segmentation approach combines projection and inherent characteristics of character, can better solve character adhesion and fracture problem. For tilted characters only in horizontal direction, even without tilt correction, this method can achieve better segmentation. Experiment results shows the accuracy of character segmentation reaches 97%.
Keywords
automated highways; character recognition; image segmentation; traffic information systems; Bernsen method; character adhesion; character binarization; license plate character segmentation; line shape filter; noise interference; plate frames; Character recognition; Image recognition; Image segmentation; Licenses; Noise; Pixel; Bernsen method; Binarization; License plate character segmentation; Line-shape filter; projectioon;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference on
Conference_Location
Changchun, Jilin Province
Print_ISBN
978-1-4244-7779-1
Type
conf
DOI
10.1109/FCST.2010.75
Filename
5575533
Link To Document