A novel method for automated identification of banknotes’ denominations based on image processing is presented. The method is part of a wearable aiding system for the visually impaired, and it uses a standard video camera as the image collecting device. The method first extracts points of interest from the denomination region of a banknote and then performs an analysis of the geometrical patterns so defined, which allows the identification of the banknote denomination. Experiments were performed with a test-subject in order to simulate real-world operating conditions. A high average identification rate was achieved.
CITATION STYLE
Rojas-Domínguez, A., Lara-Alvarez, C., & Bayro-Corrochano, E. (2014). Automated banknote identification method for the visually impaired. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8827, pp. 572–579). Springer Verlag. https://doi.org/10.1007/978-3-319-12568-8_70
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