Paper Info
Title
Extraction System of Characters in Vehicular Plates.
Abstract
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.
Year
DOI
Venue
2015
10.1109/MICAI.2015.14
MICAI (Special Sessions)
Keywords
Field
DocType
Kohonen, lqv, Otsu, morfological
Scale-space segmentation,Computer science,Binary image,Segmentation-based object categorization,Digital image,Image segmentation,Artificial intelligence,Thresholding,Computer vision,Pattern recognition,Segmentation,Filter (signal processing),Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-5090-0322-8
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Silvestre Garcia-Sanchez100.34
Jesus Olivares-Mercado2157.23
Gabriel Sanchez-Perez32813.00
Karina Toscano-Medina4198.94
Hector Perez-Meana513423.60