Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling

Tibetan Recognition System Based on the Improved Extraction Algorithm of Complexity Index Feature

Authors
Mai Zhiyuan, Xiang Wei
Corresponding Author
Mai Zhiyuan
Available Online June 2015.
DOI
https://doi.org/10.2991/kam-15.2015.44How to use a DOI?
Keywords
complexity index feature; feature extraction; Tibetan character recognition
Abstract
Tibetan character recognition is a significant module of multi-language information processing system in China. Owing to the special structure of Tibetan characters, the recognition of traditional Tibetan characters encounters the problems of low recognition rates and poor recognition effects. Through an in-depth study on features of Tibetan characters, this paper compared and analyzed the character feature extraction algorithm are used widely, and on this basis, a Tibetan character recognition system based on BP neural network was designed. The results of the experiments indicate that the improved extraction algorithm of complexity index feature to deal with Tibetan characters has the higher recognition rate and recognition speed.
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Volume Title
Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-87-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/kam-15.2015.44How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Mai Zhiyuan
AU  - Xiang Wei
PY  - 2015/06
DA  - 2015/06
TI  - Tibetan Recognition System Based on the Improved Extraction Algorithm of Complexity Index Feature
BT  - Proceedings of the 5th International Symposium on Knowledge Acquisition and Modeling
PB  - Atlantis Press
SP  - 159
EP  - 162
SN  - 1951-6851
UR  - https://doi.org/10.2991/kam-15.2015.44
DO  - https://doi.org/10.2991/kam-15.2015.44
ID  - Zhiyuan2015/06
ER  -