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
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;
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
DOI :
10.1109/FCST.2010.75