Abstract
This research introduces a new automatic book reader for persons with blindness. The objective is to design a fully integrated system that is relatively fast and yet inexpensive and effective with a high reading accuracy. Through the use of two inexpensive light weight cameras, a book holder and using regular lighting of an office or a lab environment, this integrated system addresses through software development (a) the mathematical foundation of perspective distortion introduced by page curvature of an open book, and of barrel correction introduced by the inherent nature of image capture of the camera; (b) image preprocessing for finding lines and characters in a given image; and (c) the implementation of a fast neural network that takes as input the findings of step (b) and provides an audible read out through a speech synthesis engine.
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References
Amin, A., Fischer, S.: A document skew detection method using the Hough Transform. Pattern Analysis and Applications: 3(3), 243–253 (2000)
Ishitani, Y.: Logical Structure Analysis of Document Images Based on Emergent Computation. IEICE Trans. on Information and Systems (8), 1831–1842 (2005)
Nagy, G.: Twenty Years of Document Image Analysis in PAMI. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(1), 38–62 (2000)
Muller, K.R., Mika, S., Ratsch, G., Tsuda, K., Scholkopf, B.: An Introduction to Kernel-based Learning Algorithms. IEEE Trans. on Neural Networks 12(2), 181–201 (2001)
Rao, S.S.: Electronic books: their integration into library and information centers. Electronic Library 23(1), 116–140 (2005)
Alonso, M., Barreto, A., Cremades, J.G., Jacko, J.A.: Behaviour & Information Technology 24(3), 161–173 (2005)
Adjouadi, M.: A Man-Machine Vision Interface for Sensing the Environment. Journal of Rehabilitation Research and Development 29(2), 57–76 (1992)
Adjouadi, M., Riley, J., Candocia, F., Andrian, J., Sumargo, H.: An Augmented Computer Vision Approach for Enhanced Image Understanding. Journal of Rehabilitation Research and Development 32(3), 264–279 (1995)
Pajdla, T., Werner, T., Hlavac, V.: Correcting Radial Lens Distortion without knowledge of 3-D Structure: Technical report TR97-138, FEL CVUT, Prague, Czech Republic (1997)
Vass, G., Perlaki, T.: Applying and Removing Lens Distortion in Post Production: Colorfront Ltd., Budapest (2003)
Casey, R.G., Lecolinet, E.: A Survey of Methods and Strategies in Character Segmentation. IEEE Trans. on Pattern Analysis and Machine Intelligence 18(7), 690–706 (1996)
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© 2006 Springer-Verlag Berlin Heidelberg
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Adjouadi, M., Ruiz, E., Wang, L. (2006). Automated Book Reader for Persons with Blindness. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds) Computers Helping People with Special Needs. ICCHP 2006. Lecture Notes in Computer Science, vol 4061. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788713_159
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DOI: https://doi.org/10.1007/11788713_159
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36020-9
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