DocumentCode
1743013
Title
Handwritten character segmentation using transformation-based learning
Author
Kavallieratou, E. ; Stamatatos, E. ; Fakotakis, N. ; Kokkinakis, G.
Author_Institution
Dept. of Electr. & Comput. Eng., Patras Univ., Greece
Volume
2
fYear
2000
fDate
2000
Firstpage
634
Abstract
Presents a character segmentation algorithm for unconstrained cursive handwritten text. The transformation-based learning method and a simplified variation of it are used in order to extract automatically rules that detect the segment boundaries. Comparative experimental results are given for a collection of multiwriter handwritten words. The achieved accuracy in detecting segment boundaries exceeds 82%. Moreover limited training data can provide very satisfactory results
Keywords
handwritten character recognition; image segmentation; learning (artificial intelligence); optical character recognition; handwritten character segmentation; multiwriter handwritten words; segment boundaries; transformation-based learning; unconstrained cursive handwritten text; Character recognition; Data mining; Handwriting recognition; Histograms; Image segmentation; Learning systems; Optical character recognition software; Text recognition; Training data; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.906155
Filename
906155
Link To Document