Title :
A new automatic extraction method of container identity codes
Author :
He, Zhiwei ; Liu, Jilin ; Ma, Hongqing ; Li, Peihong
Author_Institution :
Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
fDate :
3/1/2005 12:00:00 AM
Abstract :
An automatic extraction method of container identity codes based on template matching is proposed. With different kinds of noises on the image, the container code can hardly be extracted. Initially, the container image is filtered with both adaptive linear and nonlinear filters in order to reduce noise so that the candidate text lines can be properly located. Then, a series of standard templates has been brought forward according to the standard align modes of the container identification (ID) codes. Finally, the align mode of each candidate text line is obtained and then matched with those standard templates and the container ID codes can be extracted automatically. Results show that this method can segment the container ID codes with high performance.
Keywords :
adaptive filters; feature extraction; freight containers; image matching; nonlinear filters; adaptive linear filter; automatic extraction method; container identity codes; nonlinear filter; template matching; Code standards; Containers; Gaussian distribution; Image recognition; Image segmentation; Intelligent transportation systems; Noise reduction; Nonlinear filters; Pixel; Shape measurement; Container identity code; image processing; template matching;
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2004.838509