DocumentCode :
2143436
Title :
Character Recognition Based on DTW-Radon
Author :
Santosh, K.C.
Author_Institution :
LORIA, INRIA Nancy-Grand Est, Vandoeuvre-les-Nancy, France
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
264
Lastpage :
268
Abstract :
The paper presents a method for isolated off-line character recognition using radon features. The key characteristic of the method is to use DTW algorithm to match corresponding pairs of radon histograms at every projecting angle. Thanks to DTW, it avoids compressing feature matrix into a single vector which may miss information. Comparison has been made with the state-of-the-art of shape descriptors over several different character as well as numeral datasets from different scripts.
Keywords :
Radon transforms; document image processing; handwritten character recognition; DTW radon; character recognition; compressing feature matrix; isolated offline character recognition; radon features; radon histograms; shape descriptors; Character recognition; Handwriting recognition; Histograms; Shape; Training; Transforms; Vectors; Character Recognition; DTW; Radon Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
ISSN :
1520-5363
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2011.61
Filename :
6065316
Link To Document :
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