Mihály Radványi
ABSTRACT
Portable assistive devices are getting more and more widespread. Since most cell phones are nowadays equipped with cameras they can provide an easy way for blind and visually impaired people to obtain visual information about their environment. In this paper we present a banknote recognition system for our previously proposed mobile device, called the bionic eyeglass. We employ a recognition scheme based on the structural topology of banknotes that enables that the visual features detected are not joined in an ensemble classifier independently, but they are coupled via an excitation-inhibition model. We have shown that the technique outperforms classical ensemble classifiers.
- K. Karacs, A. Lázár, R. Wagner, D. Bálya, T. Roska, and M. Szuhaj, "Bionic Eyeglass: an Audio Guide for Visually Impaired," in Proc. of the First IEEE Biomedical Circuits and Systems Conference (BIOCAS 2006), London, UK, Dec. 2006, pp. 190--193.Google Scholar
- K. Karacs, A. Lázár, R. Wagner, B. Bálint, T. Roska, and M. Szuhaj, "Bionic Eyeglass: The First Prototype, A Personal Navigation Device for Visually Impaired," in Proc. of First Int'l Symp. on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2008), Aalborg, Denmark, 2008.Google Scholar
- A. Hinwood, P. Preston, G. J. Suaning, N. H. Lovell, "Banknote recognition for the vision impaired," Australasian Physical & Engineering Sciences in Medicine, vol. 29, no. 2, pp. 229--233, 2006.Google ScholarCross Ref
- Note Teller 2, Brytech Inc., http://www.brytech.com/noteteller/Google Scholar
- knfbReader Mobile, knfb Reading Technology Inc., http://www.knfbreader.com/Google Scholar
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- A. Khotanzad and Y. H. Hong, "Invariant image recognition by zernike moments", IEEE Trans. on Pattern Anal. and Machine Intell., 1990. Google ScholarDigital Library
- H. Shin Kim and Heung-Kyu Lee, "Invariant Image Watermark Using Zernike Moments," IEEE Trans. on Circuits and System for Video Technology, 2003. Google ScholarDigital Library
Index Terms
- Mobile banknote recognition: topological models in scene understanding
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