DocumentCode :
3137086
Title :
Automatic document image mosaicing algorithm with hand-held camera
Author :
Ligang, Miao ; Yongjuan, Yue
Author_Institution :
Coll. of Comput. & Commun. Eng., Chinese Acad. of Sci., Beijing, China
Volume :
2
fYear :
2011
fDate :
25-28 July 2011
Firstpage :
1094
Lastpage :
1097
Abstract :
This paper presents an image mosaicing method for camera-captured document images, and it can be used to stitch multiple overlapping document images into a large high resolution image. First, we use the nearest-neighbor(NN) clustering technique in document skew rectification to locate the horizontal vanishing point of the text plane. Secondly we partition the image into multiple overlapping blocks centered with the centroid of each connected component(CC), and propose a run-length opening algorithm(RLOA) to compute the local orientation of vertical character stroke(VSB), which is used to locate the document´s vertical vanishing point. Thirdly, a three-step hierarchical rectification method is proposed to rectify document images. Finally, it uses local alignment constraints of all the overlapping image pairs to construct global alignment model, thus, to eliminate the error accumulation effectively. This method is unique in not calibrating the internal and external camera parameters in advance and not restricting the camera position, and it can produce a high resolution and accurate full page mosaic from small image patches of a document.
Keywords :
calibration; cameras; document image processing; image enhancement; image resolution; image segmentation; pattern clustering; text analysis; automatic document image mosaicing algorithm; camera parameter calibration; camera-captured document image; document image rectification; document skew rectification; error accumulation elimination; handheld camera; high resolution image; horizontal vanishing point; multiple overlapping document image stitching; nearest neighbor clustering technique; run-length opening algorithm; text plane; three-step hierarchical rectification method; vertical character stroke; Clustering algorithms; Digital cameras; Estimation; Pattern recognition; Robustness; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
Type :
conf
DOI :
10.1109/ICICIP.2011.6008422
Filename :
6008422
Link To Document :
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