DocumentCode
480046
Title
Seal Identification Based on Pixel Distribution Probability with Three-Mode and Nine-Section
Author
Wang, Ning
Author_Institution
Sch. of Med. Inf. Eng., Guangdong Pharm. Univ., Guangzhou
Volume
3
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
742
Lastpage
745
Abstract
This paper studied a new method of seal identification. First, the image of seal is segmented into 9 equal-area quadrate sections respectively on three modes-gridding, horizontal bar and vertical bar. The pixel distribution probability of strokes in every section is calculated. It is the ratio of the pixels of strokes of every section to the pixels of seal and represents the structural and statistic feature of seal. Then, the geometrical mean distance product and the weighted correlation measure of pixel distribution probability between identified seal and standard seal can be got. According to above two indexes and the statistical principle, the result of seal identification can be finished. This method proved to be simple and effective by experiment. It can realize the accurate and rapid seal identification with computer.
Keywords
image segmentation; statistical distributions; geometrical mean distance product; image segmentation; pixel distribution probability; seal identification; weighted correlation measure; Biomedical imaging; Computer science; Image segmentation; Pixel; Probability; Seals; Software engineering; Statistical distributions; Statistics; Weight measurement; pixel distribution probability; seal identification; the geometrical mean distance product; the weighted correlation measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.1004
Filename
4722449
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