Abstract
This study is a part of an Italian national project named STIPER, whose aim is the design and development of devices to help blind people in daily activities. This device acquires images of printed text, recognizes it through a set of Artificial Neural Networks and drives a Braille matrix or a speech synthesis engine in order to allow the user read text in real time by means of a common PDA device.
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References
VV. AA.: (Optacon), http://en.wikipedia.org/wiki/Optacon
Trier, O., Jain, A., Taxt, T.: Feature extraction methods for character recognition - a survey. Pattern Recognition 29, 641–662 (1996)
Baluja, S.: Making templates rotationally invariant: An application to rotated digit recognition. In: Advances in Neural Information Processing Systems (1998)
LeCun, Y., Bengio, Y.: Convolutional networks for images, speech, and time-series. In: The Handbook of Brain Theory and Neural Networks, MIT Press, Cambridge (1995)
Costa, M., Filippi, E., Pasero, E.: A modular, cyclic neural network for character recognition. In: Proc INNS World Congress on Neural Networks (WCNN ’94), vol. 3, pp. 204–209 (1994)
Principe, J.C.: Artificial neural network. In: The Electrical Engineering Handbook, CRC Press, LLC (2000)
John Hertz, A.K., Palmer, R.G.: Introduction to the theory of neural computation. Addison-Wesley, Reading (1999)
Fahlman, S.E.: An empirical study of learning speed in back-propagation networks. Technical Report Computer Science Technical Report, Carnegie-Mellon University (1988)
Riedmiller, M., Braun, H.: Rprop — a fast adaptive learning algorithm. Technical report, Universitat Karlsruhe (1992)
Igel, C., Hüsken, M.: Improving the Rprop learning algorithm. In: Bothe, H., Rojas, R. (eds.) Proceedings of the Second International ICSC Symposium on Neural Computation (NC 2000), pp. 115–121. ICSC Academic Press, London (2000)
Filippi, E., Costa, M., Pasero, E.: Combining multi-layer perceptrons in classification problems. In: Proc. European Symposium on Artificial Neural Networks (ESANN ’94), pp. 49–54 (1994)
Filippi, E., Costa, M., Pasero, E.: Performance and resource requirements of multiple MLPs in pattern classification. In: ICANN ’94. Proc. International Conference on Artificial Neural Networks, vol. 2, pp. 815–818. Springer, London, UK (1994)
Kavzoglu, T.: Determining optimum structure for artificial neural networks. In: Proceedings of the 24th Annual Technical Conference and Exhibition of the Remote Sensing Society, pp. 675–682 (1999)
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Ros, P.M., Pasero, E. (2007). Real Time Reader Device for Blind People. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74829-8_36
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DOI: https://doi.org/10.1007/978-3-540-74829-8_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74828-1
Online ISBN: 978-3-540-74829-8
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