This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
18th International Conference on Pattern Recognition (ICPR'06) Volume 2
Recognition of English Multi-oriented Characters
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
x 
 
U. Pal, F. Kimura, K. Roy, T. Pal, "Recognition of English Multi-oriented Characters," Pattern Recognition, International Conference on, vol. 2, pp. 873-876, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2006.971,
author = {U. Pal and F. Kimura and K. Roy and T. Pal},
title = {Recognition of English Multi-oriented Characters},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {873-876},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.971},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Recognition of English Multi-oriented Characters
SN - 1051-4651
SP873
EP876
A1 - U. Pal,
A1 - F. Kimura,
A1 - K. Roy,
A1 - T. Pal,
PY - 2006
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
U. Pal, CVPR Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata-108, INDIA
F. Kimura, Mie University, 1577 Kurimamachiya-cho,TSU, Mie 514-8504, Japan
K. Roy, CVPR Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata-108, INDIA
T. Pal, CVPR Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata-108, INDIA
There are some printed artistic documents where text lines may be curved in shape. As a result, characters of a single line may be multi-oriented. To handle such artistic documents, in this paper, we present a scheme towards the recognition of multi-oriented and multi-sized English characters. The features used here are invariant to character orientation and computed based on the angular information of the border points of the characters. We used modified quadratic discriminant function (MQDF) for recognition. We tested our proposed scheme on a dataset of 18232 characters and obtained 98.34% accuracy from the system.
Citation:
U. Pal, F. Kimura, K. Roy, T. Pal, "Recognition of English Multi-oriented Characters," icpr, vol. 2, pp.873-876, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
Usage of this product signifies your acceptance of the Terms of Use.