Email this article 
Open Access
Subscription or Fee Access
Nonparametric Illumination and Skew Correction for Scanned Document Images
Abstract
A scanned image of an document page most often suffers from various scanning artifacts known as scanning shading and dark borders noises. These artifacts will degrade the qualities of the scanned images and causes problems to the subsequent process of document image analysis. My research work is based on effective method to rectify these scanning artifacts. This method comes from two observations: that the shading surface of most scanned book pages is quasi-concave and that the document contents are usually printed on a sheet of plain and bright paper. Based on these observations, a shading image can be accurately extracted via convex hulls-based image reconstruction. The proposed method proves to be surprisingly effective for image shading correction, dark borders removal and also for skew correction. It can restore a desired shading-free image and meanwhile yield an illumination surface of high quality. The performance will be evaluated by comparing all other state of art algorithms.
Keywords
References
T. Wada, H. Ukida, and T. Matsuyama, “Shape from Shading with Inter reflections under Proximal Light Source-3D Shape Reconstruction of Unfolded Book Surface from a Scanner Image,” Proc. Fifth Int‟l Conf. Computer Vision, pp. 66-71, 1995.
T. Wada, H. Ukida, and T. Matsuyama, “Shape from Shading with Interreflections under a Proximal Light Source: Distortion-Free Copying of an Unfolded Book,” Int‟l J. Computer Vision, vol. 24, no. 2, pp. 125-135, 1997.
C.L. Tan, L. Zhang, Z. Zhang, and T. Xia, “Restoring Warped Document Images through 3D Shape Modeling,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 28, no. 2, pp. 195-208, Feb. 2006.
L. Zhang, Z. Zhang, C.L. Tan, and T. Xia, “3D Geometric and Optical Modeling of Warped Document Images from Scanners,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 337-342, 2005.
S. Hsia, M. Chen, and Y. Chen, “A Cost-Effective Line-Based Light- Balancing Technique Using Adaptive Processing,” IEEE Trans. Image Processing, vol. 15, no. 9, pp. 2719-2729, Sept. 2006.
M.S. Brown, M. Sun, R. Yang, L. Yun, and W.B. Seales, “Restoring 2D Content from Distorted Documents,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 11, pp. 1904-1916, Nov. 2007.
K.C. Fan, Y.K. Wang, and T.R. Lay, “Marginal Noise Removal of Document Images,” Pattern Recognition, vol.35, no. 11, pp. 25932611, 2002.
F. Shafait, J. van Beusekom, D. Keysers, and T. Breuel, “Page Frame Detection for Marginal Noise Removal from Scanned Documents,” Proc. 15th Scandinavian Conf.Image Analysis, pp. 651660, 2007.
J.S. Lee, C.H. Chen, and C.C. Chang, “A Novel Illumination- Balance Technique for Improving the Quality of Degraded Text- Photo Images,” IEEE Trans. Circuits and Systems for Video Technology, vol. 19, no. 6, pp. 900-905, June 2009.
D.M. Oliveira and R.D. Lins, “A New Method for Shading Removal and Binarization of Documents Acquired with Portable Digital Cameras,” Proc. Third Int’l Workshop Camera-Based Docu- ment Analysis and Recognition, vol. 2, pp. 3-10, 2009.
F. Shafait and T.M. Breuel, “The Effect of Border Noise on the Performance of Projection-Based Page Segmentation Methods,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 33, no. 4, pp. 846-851, Apr. 2011.
G. Meng, N. Zheng, S. Du, Y. Song, and Y. Zhang, “Shading Extraction and Correction for Scanned Book Images,” IEEE Signal Processing Letters, vol. 15, pp. 849-852, 2008.
J. Fan, “Robust Color Image Enhancement of Digitized Books,” Proc. 10th Int’l Conf. Document Analysis and Recognition, pp 561- 565, 2009.
T. Kanungo, R.M. Haralick, and I. Phillips, “Global and Local Document Degradation Models,” Proc. Second Int’l Conf. Document Analysis and Recognition, pp. 730-734, 1993.
L. Zhang, A.M. Yip, and C.L. Tan, “A Restoration Framework for Correcting Photometric and Geometric Distortions in Camera- Based Document Images,” Proc. 11th IEEE Int’l Conf. Computer Vision, pp. 1-8, 2007.
L. Zhang, A.M. Yip, M.S. Brown, and C.L. Tan, “A Unified Framework for Document Restoration Using Inpainting and Shape- from-Shading,” Pattern Recognition, vol. 42, no. 11, pp. 2961-2978, 2009.
R.D. Lins, D.M. Oliveira, G. Torreao, J. Fan, and M. Thielo, “Correcting Book Binding Distortion in Scanned Documents,” Proc Seventh Int‟l Conf. Image Analysis and Recognition, vol. 2, pp. 355- 365, 2010.
R.C. Gonzalez and R.E. Woods, Digital Image Processing. Prentice Hall, 2008.
Y.C. Tsoi and M.S. Brown, “Geometric and Shading Correction for Images of Printed Materials: A Unified Approach Using Boundary,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 240-246, 2004.
M.S. Brown and Y.C. Tsoi, “Geometric and Shading Correction for Images of Printed Materials Using Boundary,” IEEE Trans. Image Processing, vol. 15, no. 6, pp. 900-905, June 2006.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.