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 :
بازگشت