Paper Info
Title
Recognition of english calling card by using multiresolution images and enhanced ART1-Based RBF neural networks
Abstract
A novel hierarchical algorithm is proposed to recognize English calling cards. The algorithm processes multiresolution images of calling cards hierarchically to firstly extract individual characters and then to recognize the characters by using an enhanced neural network method. The horizontal smearing is applied to a 1/3 resolution image in order to extract the areas. The second vertical smearing and contour tracking masking is applied to a 1/2 resolution image to extract individual characters. And lastly, the original image is used in the recognition step because the image accurately includes the morphological information of the characters precisely. The enhanced RBF network is also proposed to recognize characters with diverse font types and sizes, by using the enhanced ART1 network adjusting the vigilance parameter dynamically according to the similarity between patterns. The results of experiments show that the proposed algorithm greatly improves the character extraction and recognition compared with traditional recognition algorithms.
Year
DOI
Venue
2006
10.1007/11760023_44
ISNN (2)
Keywords
Field
DocType
art1 network,enhanced rbf network,resolution image,enhanced neural network method,individual character,art1-based rbf neural network,proposed algorithm,novel hierarchical algorithm,recognition step,original image,multiresolution image,neural network
Computer vision,Similitude,Radial basis function,Masking (art),Pattern recognition,Computer science,Image processing,Multiresolution analysis,Artificial intelligence,Hierarchical algorithm,Artificial neural network,Image resolution
Conference
Volume
ISSN
ISBN
3972
0302-9743
3-540-34437-3
Citations 
PageRank 
References 
1
0.39
4
Authors
2
Name
Order
Citations
PageRank
kwangbaek kim111043.94
Sungshin Kim221064.17