Volume 10, Issue 1, 2017, Pages 405 - 418
Numeric Character Recognition System for Chilean License Plates in semicontrolled scenarios
Authors
H. Olmí1, 2, heolre@hotmail.com, C. Urrea1, claudio.urrea@usach.cl, M. Jamett1, marcela.jamett@usach.cl
Received 22 May 2016, Accepted 10 October 2016, Available Online 1 January 2017.
- DOI
- 10.2991/ijcis.2017.10.1.28How to use a DOI?
- Keywords
- Artificial Vision; Pattern Recognition; Optical Character Recognition; Fine Character Segmentation
- 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.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - H. Olmí AU - C. Urrea AU - M. Jamett PY - 2017 DA - 2017/01/01 TI - Numeric Character Recognition System for Chilean License Plates in semicontrolled scenarios JO - International Journal of Computational Intelligence Systems SP - 405 EP - 418 VL - 10 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2017.10.1.28 DO - 10.2991/ijcis.2017.10.1.28 ID - Olmí2017 ER -