DocumentCode
476252
Title
Research and design of digital validation image recognition algorithm based on contour features
Author
Kang, Chun-ying ; Zhang, Wei ; Zhang, Tao
Author_Institution
Heilongjiang Univ., Harbin
Volume
5
fYear
2008
fDate
12-15 July 2008
Firstpage
3022
Lastpage
3025
Abstract
This paper proposes a simple and fast digit recognition algorithm based on exterior contour features of a digital validation image. First, we convert the validation image into a binary one and divide the binary image into some single number image. Then compute the exterior contour features of the single image from top, bottom, left and right 4 directions. Finally, we recognize the number according to their contour features. The test results show that the recognition accuracy of this algorithm is relatively high and the speed is fast. In addition, it can be used to recognize other kinds of characters.
Keywords
edge detection; binary image; digital validation image recognition algorithm; exterior contour features; first-order differential; Algorithm design and analysis; Color; Cybernetics; Histograms; Image converters; Image recognition; Image segmentation; Machine learning; Machine learning algorithms; Testing; Contour features; First-order differential; Number recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620925
Filename
4620925
Link To Document