Automatic container code recognition using compressed sensing method
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Optical flow-based segmentation of containers for automatic code recognition
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
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This paper describes the recognition of container code characters. The system has to deal with outdoor images which usually have damaged characters and obtain an answer in real time. Tophat transformation, equalization and adaptive cropping have been applied so as to reduce the noise and correct the inclusion box. The training corpus is artificially grown by applying controlled deformations of the samples which increase the recognition rate. Approximated nearest neighbours are used in order to perform a fast search with a large corpus.