DocumentCode
594722
Title
Part-based method on handwritten texts
Author
Song Wang ; Uchida, Seiichi ; Liwicki, Marcus
Author_Institution
Kyushu Univ., Fukuoka, Japan
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
339
Lastpage
342
Abstract
This paper reports a trial of handwritten text recognition by a part-based method. The part-based method recognizes individual characters by their parts without considering their whole shape. This realizes great robustness to severe deformations. This robustness is also effective for text recognition. Especially, for handwritten texts whose segmentation into individual characters is very difficult by deep touching and heavy slant, the part-based method still can recognize them because it does not request segmentation results to provide their whole shapes. Experimental results using digit sequences proved this robustness.
Keywords
handwritten character recognition; image segmentation; character recognition; handwritten text recognition; handwritten text segmentation; part-based method; Feature extraction; Handwriting recognition; Image recognition; Image segmentation; Smoothing methods; Text recognition; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460141
Link To Document