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