Abstract
This research introduces a novel automated book reader as an assistive technology tool for persons with blindness in the reading of books and other bound volumes. This design responds to the main concerns of (a) providing a method of image acquisition that maintains the integrity of the source, (b) overcoming optical character recognition errors created by inherent imaging issues such as curvature effects and lens distortion, and (c) determining a suitable method for accurate recognition of characters that yields an interface with the ability to read from any open book with a high reading accuracy nearing 98%. The theoretical perspective of this research relates to the mathematical developments to resolve both the inherent distortions due to the properties of the camera lens and the anticipated distortions of the changing page curvature as one leafs through the book.
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
Markoff, J.: Media, Digitized, May 12, 2003. The New York Times (2003)
Hafner, K.: History, Digitized (and Abridged), March 11, 2007. The New York Times (2007)
Coyle, K.: Managing Technology: Mass Digitization of Books. The Journal of Academic Librarianship 32(6), 641–645 (2006)
Brown, M.S., Seales, W.B.: Document restoration using 3D shape: a general deskewing algorithm for arbitrarily warped documents. In: International Conference on Computer Vision, Vancouver, Canada, vol. 2, pp. 367–374 (July 2001)
Pilu, M.: Undoing Paper Curl Distortion Using Applicable Surfaces. In: International Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, USA, pp. 67–72 (2001)
Pollard, S., Pilu, M.: Building cameras to capture documents. International Journal of Document Analysis and Recognition 7(2), 123–137 (2005)
Agam, G., Wu, C.H.: Structural rectification of non-planar document images: application to graphics recognition. In: Fourth International Workshop on Graphics Recognition Algorithm and Applications, Kingston, Ontario, Canada, pp. 289–298 (2001)
Liang, J., De Menthon, D., Doermann, D.: Flattening curved documents in images. In: International Conference on Computer Vision and Pattern Recognition, San Diego, USA, pp. 338–345 (June 2005)
Lu, S., Tan, C.L.: The Restoration of Camera Documents Through Image Segmentation. In: Bunke, H., Spitz, A.L. (eds.) DAS 2006. LNCS, vol. 3872, pp. 484–495. Springer, Heidelberg (2006)
Pavic, D., Schonefeld, V., Kobbelt, L.: Interactive image completion with perspective correction. Visual Comput (2006) DOI 10.1007/s00371-006-0050-2
Clark, P., Mirmehdi, M.: Rectifying perspective views of text in 3D scenes using vanishing points. Pattern Recog. 36(11), 2673–2686 (2003)
Vass, G., Perlaki, T.: Applying and Removing Lens Distortion in Post Production. Colorfront Ltd., Budapest (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, L., Adjouadi, M. (2008). Automated Book Reader Design for Persons with Blindness. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds) Computers Helping People with Special Needs. ICCHP 2008. Lecture Notes in Computer Science, vol 5105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70540-6_47
Download citation
DOI: https://doi.org/10.1007/978-3-540-70540-6_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70539-0
Online ISBN: 978-3-540-70540-6
eBook Packages: Computer ScienceComputer Science (R0)