Title :
Robust container code recognition system
Author :
Pan, Wei ; Wang, Yangsheng ; Yang, Hongji
Author_Institution :
Inst. of Autom., Chinese Acad. of Sci., Beijing, China
Abstract :
Manually identification, typically employed when containers enter and exist the port, is inefficient, insufficient and may cause a threat to security. An image-based automatic container code recognition system is introduced that is robust to varying light and shadows. Filtered with both gray gradient information and the characteristics of container codes, the code lines can be properly located. The feature-based Local Intensity Gradient (LIG) and adaptive multi-threshold methods are combined to segment the codes from background with high performance. Using the features of both the contour profiles and points, some damaged codes can be recognized and the correct rate is improved. This system is simple and valid, and gets satisfying result in experiments. Finally, it gives some amendment suggestion.
Keywords :
codes; containers; feature extraction; filtering theory; gradient methods; image recognition; image segmentation; optical character recognition; adaptive multithreshold method; code segmentation; container code recognition system; feature based local intensity gradient; filtering theory; gray gradient information; identification; image based automatic recognition; Automation; Containers; Image recognition; Image segmentation; Information filtering; Information filters; Information security; Laboratories; National security; Robustness;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342264