DocumentCode
401829
Title
Feature selection for handwritten Chinese based on machine learning
Author
Liu, Xu-min ; Li, Kai ; Huang, Hou-Kuan
Author_Institution
Sch. of Comput. & Inf. Technol., Northern Jiaotong Univ., Beijing, China
Volume
4
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
2399
Abstract
In this paper, a new approach to feature selection and recognition of handwritten Chinese characters is proposed, and the algorithm for decision tree is successfully used in feature selection and recognition simultaneously based on the theory of machine learning. It extracts some useful features for matching, reduces the number of extracted features and improves recognition speed greatly.
Keywords
decision trees; feature extraction; handwritten character recognition; learning (artificial intelligence); Chinese character handwritings; decision tree; feature extraction; feature recognition; feature selection; machine learning; Artificial intelligence; Character recognition; Decision trees; Feature extraction; Handwriting recognition; Machine learning; Mathematics; Pattern matching; Pattern recognition; Software libraries;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1259912
Filename
1259912
Link To Document