Preprocessing and recognition of characters in container codes

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. A top-hat transformation, equalization and adaptive cropping have been applied 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.