Title :
Character Recognition Based on DTW-Radon
Author_Institution :
LORIA, INRIA Nancy-Grand Est, Vandoeuvre-les-Nancy, France
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;
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2011.61