DocumentCode
2328100
Title
Recognition of bangla characters using regional features and principal component analysis
Author
Naser, M.A. ; Hossain, Md Murad ; Tito, Shafiqur Rahman ; Hoque, Md Ashraful
Author_Institution
Dept. of Electr. & Electron. Eng., Islamic Univ. of Technol., Gazipur, Bangladesh
fYear
2010
fDate
18-20 Dec. 2010
Firstpage
506
Lastpage
509
Abstract
Feature extraction is the most important step of character recognition. Accuracy of the recognition mostly depends on it. Ten regional features are proposed in this paper. Principal component analysis is used to reduce the data set as well as to remove redundancy. For recognition, K-nearest neighbor classifier is used and that yields a very high rate of 100%.
Keywords
character recognition; feature extraction; image classification; principal component analysis; Bangla character recognition; k-nearest neighbor classifier; principal component analysis; regional feature extraction; K-nearest neighbor classifier; Principal component analysis; Regional features;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering (ICECE), 2010 International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4244-6277-3
Type
conf
DOI
10.1109/ICELCE.2010.5700740
Filename
5700740
Link To Document