DocumentCode :
1635627
Title :
Automatic Corresponding Control Points Selection for Historical Document Image Registration
Author :
Wang, Jie ; Brown, Michael S. ; Tan, Chew Lim
Author_Institution :
Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2009
Firstpage :
1176
Lastpage :
1180
Abstract :
Image registration is crucial for various image analysis tasks. In particular, most approaches to correction of bleed-through distortion on handwritten document images require the recto image and the verso image to be precisely registered. In this paper, we present a fully automatic method which detects specific number of corresponding control points from historical documents for the purpose of registration. First, candidate points are located by inspecting the gradient direction maps of document images. Corresponding control points are selected based on a dissimilarity metric that incorporates image intensity, gradient magnitude, gradient orientation and displacement. To improve the quality of the detected control points, median filers and consistency checking are applied to correct mismatches. Experiments on real historical document images have shown encouraging results and further improvements can be made by exploiting more sophisticated similarity metric tailored to historical documents´ characteristics.
Keywords :
document image processing; gradient methods; image registration; median filters; automatic corresponding control point; bleed-through distortion; consistency checking; gradient direction map; gradient magnitude; gradient orientation; handwritten document image; historical document image registration; image analysis task; image intensity; median filer; Automatic control; Degradation; Displacement control; Image analysis; Image recognition; Image registration; Independent component analysis; Ink; Interference; Text analysis; control points; historical document; image registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
ISSN :
1520-5363
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2009.126
Filename :
5277604
Link To Document :
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