Automatic container code recognition using compressed sensing method
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
An automated vision system for container-code recognition
Expert Systems with Applications: An International Journal
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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.