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http://dx.doi.org/10.7838/jsebs.2018.23.2.021

Development of a Raspberry Pi-based Banknote Recognition System for the Visually Impaired  

Lee, Jiwan (Division of Computer Science, Sookmyung Women's University)
Ahn, Jihoo (Division of Computer Science, Sookmyung Women's University)
Lee, Ki Yong (Research Institute of ICT Convergence & Division of Computer Science, Sookmyung Women's University)
Publication Information
The Journal of Society for e-Business Studies / v.23, no.2, 2018 , pp. 21-31 More about this Journal
Abstract
Korean banknotes are similar in size, and their braille tend to worn out as they get old. These characteristics of Korean banknotes make the blind people, who mainly rely on the braille, even harder to distinguish the banknotes. Not only that, this can even lead to economic loss. There are already existing systems for recognizing the banknotes, but they don't support Korean banknotes. Furthermore, because they are developed as a mobile application, it is not easy for the blind people to use the system. Therefore, in this paper, we develop a Raspberry Pi-based banknote recognition system that not only recognizes the Korean banknotes but also are easily accessible by the blind people. Our system starts recognition with a very simple action of the user, and the blind people can hear the recognition results by sound. In order to choose the best feature extraction algorithm that directly affects the performance of the system, we compare the performance of SIFT, SURF, and ORB, which are representative feature extraction algorithms at present, in real environments. Through experiments in various real environments, we adopted SIFT to implement our system, which showed the highest accuracy of 95%.
Keywords
Banknote Recognition; Visually Impaired; Raspberry Pi; SIFT; SURF; ORB;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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