DocumentCode
3021911
Title
Segmentation of connected handwritten numerals by graph representation
Author
Suwa, Misako
Author_Institution
Fujitsu Labs. LTD, Japan
fYear
2005
fDate
29 Aug.-1 Sept. 2005
Firstpage
750
Abstract
This paper proposes a new algorithm for separating a touching pair of digits by using the graph-representation of the pattern. The segmentation can be regarded as grouping these edges and vertices into two disconnected sub-graphs. This process is executed by applying graph theory methods and certain heuristic rules. Since the boundaries of patterns are determined along the edges, the shapes of the segmented digits can be restored with high quality. The algorithm can segment not only simply connected cases but also multiply connected ones. The results of the performance evaluation using the NIST database are also presented.
Keywords
graph theory; handwritten character recognition; image segmentation; visual databases; NIST database; digit segmentation; disconnected subgraphs; graph representation; graph theory; handwritten numerals; heuristic rules; Character recognition; Databases; Graph theory; Image analysis; Image restoration; Laboratories; NIST; Pattern analysis; Shape; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN
1520-5263
Print_ISBN
0-7695-2420-6
Type
conf
DOI
10.1109/ICDAR.2005.210
Filename
1575645
Link To Document