Paper Info
Title
Research on the Method of Tibetan Recognition Based on Component Location Information.
Abstract
The recognition of Tibetan is of great significance to the study of Tibetan culture while the progress of Tibetan character recognition is lagging behind. Especially when there are not a large number of available training samples, Tibetan character recognition is very difficult. So we propose a recognition method for Tibetan characters based on component location information without a large number of training samples. The proposed method includes three main parts: (1) The segmentation of character and the extraction of component which contain location information in the character; (2) Features extraction and classifier design; (3) The superposition of component after recognition and the retrieval of character. The testing results are: the recognition rate of single component is 98.4%, the recognition rate of multilevel component is 97.2%. It indicates that the method has a good effect on the recognition of Tibetan character, and it is helpful for the recognition of Tibetan documents.
Year
Venue
Field
2018
PRCV
Pattern recognition,Character recognition,Segmentation,Computer science,Artificial intelligence,Classifier (linguistics),Lagging
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
1
4
Name
Order
Citations
PageRank
Yuehui Han101.01
Weilan Wang2911.75
Wang Yiqun322617.63
Xiao-Juan Wang4228.34