Numeric Character Recognition System for Chilean License Plates in semicontrolled scenarios
| Autor: | H. Olmí, Claudio Urrea, Marcela Jamett |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
General Computer Science
Intelligent character recognition Computer science Speech recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Pattern Recognition computer.software_genre Fuzzy logic lcsh:QA75.5-76.95 0502 economics and business 0202 electrical engineering electronic engineering information engineering Artificial Vision Fine Character Segmentation License 050210 logistics & transportation 05 social sciences k-means clustering 020207 software engineering Optical character recognition Computational Mathematics Optical Character Recognition Theory of computation Pattern recognition (psychology) lcsh:Electronic computers. Computer science computer Character recognition |
| Zdroj: | International Journal of Computational Intelligence Systems, Vol 10, Iss 1, Pp 405-418 (2017) International Journal of Computational Intelligence Systems, Vol 10, Iss 1 (2017) |
| ISSN: | 1875-6883 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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