Extraction system of characters in vehicular plates

Research output: Contribution to conferencePaperResearch

1 Citation (Scopus)

Abstract

© 2015 IEEE. In this paper, is proposed a system that identifies the location and dimensions of the characters relative to the image of a vehicular plate, when the location has not been accurate. The system is divided into 4 stages, each with a specific purpose. Which are: binarization by thresholding, morphological filtering, identification of the largest area and segmentation similarity. The first stage is used to find at the extent of possible, the region occupied by the plate relative to the rest of the image. Then, in the filtering step, it seeks to eliminate as far as possible the noise that interferes with the identification of the characters. The third stage is used to identify the region occupied by the plate. Finally, segmentation by similarity is used to identify position and dimension of the characters at the image. This stage is implemented by a Kohonen neural network.
Original languageAmerican English
Pages46-51
Number of pages40
DOIs
StatePublished - 8 Mar 2016
EventProceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015 -
Duration: 8 Mar 2016 → …

Conference

ConferenceProceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015
Period8/03/16 → …

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Garcia-Sanchez, S., Olivares-Mercado, J., Sanchez-Perez, G., Toscano-Medina, K., & Perez-Meana, H. (2016). Extraction system of characters in vehicular plates. 46-51. Paper presented at Proceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015, . https://doi.org/10.1109/MICAI.2015.14
Garcia-Sanchez, Silvestre ; Olivares-Mercado, Jesus ; Sanchez-Perez, Gabriel ; Toscano-Medina, Karina ; Perez-Meana, Hector. / Extraction system of characters in vehicular plates. Paper presented at Proceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015, .40 p.
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title = "Extraction system of characters in vehicular plates",
abstract = "{\circledC} 2015 IEEE. In this paper, is proposed a system that identifies the location and dimensions of the characters relative to the image of a vehicular plate, when the location has not been accurate. The system is divided into 4 stages, each with a specific purpose. Which are: binarization by thresholding, morphological filtering, identification of the largest area and segmentation similarity. The first stage is used to find at the extent of possible, the region occupied by the plate relative to the rest of the image. Then, in the filtering step, it seeks to eliminate as far as possible the noise that interferes with the identification of the characters. The third stage is used to identify the region occupied by the plate. Finally, segmentation by similarity is used to identify position and dimension of the characters at the image. This stage is implemented by a Kohonen neural network.",
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Garcia-Sanchez, S, Olivares-Mercado, J, Sanchez-Perez, G, Toscano-Medina, K & Perez-Meana, H 2016, 'Extraction system of characters in vehicular plates' Paper presented at Proceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015, 8/03/16, pp. 46-51. https://doi.org/10.1109/MICAI.2015.14

Extraction system of characters in vehicular plates. / Garcia-Sanchez, Silvestre; Olivares-Mercado, Jesus; Sanchez-Perez, Gabriel; Toscano-Medina, Karina; Perez-Meana, Hector.

2016. 46-51 Paper presented at Proceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015, .

Research output: Contribution to conferencePaperResearch

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AB - © 2015 IEEE. In this paper, is proposed a system that identifies the location and dimensions of the characters relative to the image of a vehicular plate, when the location has not been accurate. The system is divided into 4 stages, each with a specific purpose. Which are: binarization by thresholding, morphological filtering, identification of the largest area and segmentation similarity. The first stage is used to find at the extent of possible, the region occupied by the plate relative to the rest of the image. Then, in the filtering step, it seeks to eliminate as far as possible the noise that interferes with the identification of the characters. The third stage is used to identify the region occupied by the plate. Finally, segmentation by similarity is used to identify position and dimension of the characters at the image. This stage is implemented by a Kohonen neural network.

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Garcia-Sanchez S, Olivares-Mercado J, Sanchez-Perez G, Toscano-Medina K, Perez-Meana H. Extraction system of characters in vehicular plates. 2016. Paper presented at Proceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015, . https://doi.org/10.1109/MICAI.2015.14