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
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