DocumentCode
493711
Title
Document Image Registration Using Geometric Invariance and Hausdorff Distance
Author
Sun, Chao ; Cai, Ronghai
Author_Institution
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
Volume
2
fYear
2009
fDate
7-8 March 2009
Firstpage
725
Lastpage
728
Abstract
A new method of document image registration based on geometric invariance and Hausdorff distance is presented in this paper. Firstly, geometric invariance is used to obtain candidate feature points. Then Hausdorff distance is used to determine the final fine transformation between the input document image and the reference document image through the corresponding points set. Experiments indicate our method leads to accurate and robust registration, and can extract the filled-in information reliably.
Keywords
document image processing; image registration; Hausdorff distance; document image registration; geometric invariance; reference document image; Automation; Chaos; Computer science; Computer science education; Data mining; Educational technology; Geometry; Image registration; Robustness; Sun; Hausdorff distance; document image registration; geometric invariance;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-3581-4
Type
conf
DOI
10.1109/ETCS.2009.422
Filename
4959137
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