Abstract
Document images from mobile phone cameras and digital cameras suffer from geometric distortion; therefore distortion correction is desired for better character recognition. We propose a method to calculate the aspect ratio of planar documents using 3D perspective projection of quadrangles without using vanishing points. The proposed method is based on estimation of direction of a pair of parallel lines from their projected image. We verify the accuracy of our method from experimental results at various viewing angles. Our contribution can be applied to increase the character recognition rate by compensating for distorted documents with the accurate aspect ratio.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Liang, J., DeMenthon, D., Doermann, D.: Geometric rectification of camera-captured document images. IEEE Trans. Pattern Analysis and Machine Intelligence 30(4), 591–605 (2008)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. CUP, Cambridge (2003)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Trans. Pattern Analysis and Machine Intelligence 22(11), 1330–1334 (2000)
Wilczkowiak, M., Strurm, P., Boyer, E.: Using Geometric Constraints through Parallelepipeds for Calibration and 3D Modeling. IEEE Trans. Pattern Analysis and Machine Intelligence 27(2), 194–207 (2005)
Iwamura, M., Niwa, R., Horimatsu, A., Kise, K., Uchida, S., Omachi, S.: Layout-Free Dewarping of Planar Document Images. In: SPIE Conf. Document recognition and retrieval (2009)
Liebowitz, D., Zisserman, A.: Metric Rectification for Perspective Images of Planes. In: IEEE Conf. Computer Vision and Pattern Recognition, pp. 482–488 (1998)
Chen, Y., Ip, H.H.S.: Planar Metric Rectification by Algebraically Estimating The Image of the Absolute Conic. In: IEEE Conf. Pattern Recognition, vol. 4, pp. 88–91 (2004)
Kanatani, K.: 3D recovery of polyhedra by rectangularity heuristics. Industrial Applications of Machine Intelligence and Vision, 210–215 (1989)
Lucchese, L.: Closed-Form Pose Estimation from Metric Rectification of Coplanar Points. IEE Proceedings: Vision, Image, and Signal Processing 153(3), 364–378 (2006)
Liu, Y., Huang, T.S., Faugeras, O.D.: Determination of Camera Location from 2-D to 3-D Line and Point Correspondences. IEEE Trans. Pattern Analysis and Machine Intelligence 12(1), 28–37 (1990)
Zhang, Z., Li, M., Huang, K., Tan, T.: Robust automated ground plane rectification based on moving vehicles for traffic scene surveillance. In: IEEE Conf. Image Processing, pp. 1364–1367 (2008)
Jagannathan, L., Jawahar, C.V.: Perspective Correction Methods for Camera-Based Document Analysis. Camera-Based Document Analysis and Recognition, 148–154 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Park, J., Lee, BU. (2009). Metric Rectification to Estimate the Aspect Ratio of Camera-Captured Document Images. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2009. Lecture Notes in Computer Science, vol 5876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10520-3_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-10520-3_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10519-7
Online ISBN: 978-3-642-10520-3
eBook Packages: Computer ScienceComputer Science (R0)