DocumentCode :
2029802
Title :
Segmentation of handwritten numerals by graph representation
Author :
Suwa, Misako ; Naoi, Satoshi
Author_Institution :
Fujitsu Labs. Ltd., Kawasaki, Japan
fYear :
2004
fDate :
26-29 Oct. 2004
Firstpage :
334
Lastpage :
339
Abstract :
A new algorithm is proposed for segmenting simply and multiply connected digits. It also removes ligatures. After thinning the pattern, the edges and vertices are extracted and the pattern is represented as a connected graph. Then the matrices relating to the graph are calculated. To determine the segmentation path, both graph theory techniques and heuristic rules are used. The boundaries of digits are calculated to make the width of touching strokes uniform. The separated digits thus have a more natural shape than can be achieved using algorithms that split patterns using straight lines or line segments.
Keywords :
feature extraction; graph theory; handwritten character recognition; image segmentation; edge extraction; graph representation; graph theory techniques; handwritten numerals segmentation; heuristic rules; vertices extraction; Feature extraction; Focusing; Graph theory; Image segmentation; Pixel; Shape; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on
ISSN :
1550-5235
Print_ISBN :
0-7695-2187-8
Type :
conf
DOI :
10.1109/IWFHR.2004.91
Filename :
1363933
Link To Document :
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