Abstract
The development of a computational tool for the recognition of numerical characters already segmented from Chilean license plates, located in semi-controlled scenarios, is presented. Two algorithms are highlighted: one for the Fine Segmentation of the Characters through the K-Means algorithm and a system of fuzzy logic; and a second one for the recognition through learning of the pseudo-real outline of the characters’ skeletona. The tool has an efficacy of 95 % and a processing time of 0.4 s.
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Olmí, H., Urrea, C. & Jamett, M. Numeric Character Recognition System for Chilean License Plates in semicontrolled scenarios. Int J Comput Intell Syst 10, 405–418 (2017). https://doi.org/10.2991/ijcis.2017.10.1.28
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DOI: https://doi.org/10.2991/ijcis.2017.10.1.28