A cylindrical surface model to rectify the bound document image

We propose a novel approach on how to rectify the photo image of the bound document. The surface of the document is modeled by a cylindrical surface. By the geometry of camera image formation, the equations using the cue of directrixes to map the points on the surface in the 3D scene to the points on the image plane are achieved. Baselines of the horizontal text line are extracted as projections of directrixes to estimate the bending extent of the surface, and then the images are rectified. The proposed method needs no auxiliary device. Experimental results are presented to demonstrate the feasibility and the application of the method.

[1]  Chew Lim Tan,et al.  Restoration of images scanned from thick bound documents , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[2]  Wayne Niblack,et al.  An introduction to digital image processing , 1986 .

[3]  Robert M. Haralick,et al.  Global and local document degradation models , 1993, Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93).

[4]  Changsong Liu,et al.  Rectifying the bound document image captured by the camera: a model based approach , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[5]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[6]  Alain Bouju,et al.  Former books digital processing: image warping , 1997, Proceedings Workshop on Document Image Analysis (DIA'97).

[7]  Chew Lim Tan,et al.  Recovery of distorted document images from bound volumes , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

[8]  W. Brent Seales,et al.  Document restoration using 3D shape: a general deskewing algorithm for arbitrarily warped documents , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[9]  Amit Kumar Das,et al.  A fast algorithm for skew detection of document images using morphology , 2001, International Journal on Document Analysis and Recognition.