TY - GEN
T1 - Extraction system of characters in vehicular plates
AU - Garcia-Sanchez, Silvestre
AU - Olivares-Mercado, Jesus
AU - Sanchez-Perez, Gabriel
AU - Toscano-Medina, Karina
AU - Perez-Meana, Hector
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3/8
Y1 - 2016/3/8
N2 - 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.
AB - 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.
KW - Kohonen
KW - Otsu
KW - lqv
KW - morfological
UR - http://www.scopus.com/inward/record.url?scp=84987790686&partnerID=8YFLogxK
U2 - 10.1109/MICAI.2015.14
DO - 10.1109/MICAI.2015.14
M3 - Contribución a la conferencia
AN - SCOPUS:84987790686
T3 - Proceedings - 14th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2015
SP - 46
EP - 51
BT - Proceedings - 14th Mexican International Conference on Artificial Intelligence
A2 - Figueroa, Gustavo Arroyo
A2 - Sidorov, Grigori
A2 - Galicia Haro, Sofia N.
A2 - Alcantara, Oscar Herrera
A2 - Lagunas, Obdulia Pichardo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th Mexican International Conference on Artificial Intelligence, MICAI 2015
Y2 - 25 October 2015 through 31 October 2015
ER -