DocumentCode
2766012
Title
Connected Numeral Strings Segmentation Based on the Combination of Characteristic Position and Contour Detecting
Author
Zhang, Tian ; Wang, Xi-chang ; Chen, Chang-hua ; Liu, Jiang
Author_Institution
Shandong Normal Univ., Jinan, China
fYear
2009
fDate
7-9 March 2009
Firstpage
81
Lastpage
84
Abstract
Segmentation of Connected numeral strings plays an important role in number recognition systems. A new method to segment two connected numeral strings is proposed in the article, we define characteristic position first, using it the graph-representation of the image is derived, based on this and using contour detecting we attain the candidate segmentation position pairs used for determining the segmentation path, then a criterion is applied to choose the best segmentation from the candidates. Finally, an experiment is conducted. The results reveal that the method proposed has high speed and good result.
Keywords
graph theory; image recognition; image segmentation; object detection; contour detection; graph representation; number recognition systems; numeral string segmentation; Character recognition; Digital images; Image edge detection; Image recognition; Image segmentation; Joining processes; Partitioning algorithms; Pixel; Wiener filter; Characteristic position; Connected numeral strings segmentation; Contour detecting; segmentation pair;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Image Processing, 2009 International Conference on
Conference_Location
Bangkok
Print_ISBN
978-0-7695-3565-4
Type
conf
DOI
10.1109/ICDIP.2009.43
Filename
5190617
Link To Document