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@article{ART002474599},
author={RUIZSANCHEZ GUSTAVO ADRIAN},
title={A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2019},
volume={24},
number={6},
pages={67-72},
doi={10.9708/jksci.2019.24.06.067}

TY - JOUR
AU - RUIZSANCHEZ GUSTAVO ADRIAN
TI - A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos
JO - Journal of The Korea Society of Computer and Information
PY - 2019
VL - 24
IS - 6
PB - The Korean Society Of Computer And Information
SP - 67
EP - 72
SN - 1598-849X
AB - This paper proposes a computer vision-based banknote recognition system intended to assist the blind. This system is robust and fast in recognizing banknotes on videos recorded with a smartphone on real-life scenarios. To reduce the computation time and enable a robust recognition in cluttered environments, this study segments the banknote candidate area from the background utilizing a technique called Pixel-Based Adaptive Segmenter (PBAS). The Speeded-Up Robust Features (SURF) interest point detector is used, and SURF feature vectors are computed only when sufficient interest points are found. The proposed algorithm achieves a recognition accuracy of 98%, a 100% true recognition rate and a 0% false recognition rate. Although Korean banknotes are used as a working example, the proposed system can be applied to recognize other countries’ banknotes.
KW - Banknote recognition;Real-time;Computer Vision;Video;SURF
DO - 10.9708/jksci.2019.24.06.067
ER -

RUIZSANCHEZ GUSTAVO ADRIAN. (2019). A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos. Journal of The Korea Society of Computer and Information, 24(6), 67-72.

RUIZSANCHEZ GUSTAVO ADRIAN. 2019, "A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos", Journal of The Korea Society of Computer and Information, vol.24, no.6 pp.67-72. Available from: doi:10.9708/jksci.2019.24.06.067

RUIZSANCHEZ GUSTAVO ADRIAN "A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos" Journal of The Korea Society of Computer and Information 24.6 pp.67-72 (2019) : 67.

RUIZSANCHEZ GUSTAVO ADRIAN. A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos. 2019; 24(6), 67-72. Available from: doi:10.9708/jksci.2019.24.06.067

RUIZSANCHEZ GUSTAVO ADRIAN. "A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos" Journal of The Korea Society of Computer and Information 24, no.6 (2019) : 67-72.doi: 10.9708/jksci.2019.24.06.067

RUIZSANCHEZ GUSTAVO ADRIAN. A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos. Journal of The Korea Society of Computer and Information, 24(6), 67-72. doi: 10.9708/jksci.2019.24.06.067

RUIZSANCHEZ GUSTAVO ADRIAN. A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos. Journal of The Korea Society of Computer and Information. 2019; 24(6) 67-72. doi: 10.9708/jksci.2019.24.06.067

RUIZSANCHEZ GUSTAVO ADRIAN. A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos. 2019; 24(6), 67-72. Available from: doi:10.9708/jksci.2019.24.06.067

RUIZSANCHEZ GUSTAVO ADRIAN. "A Computer Vision-Based Banknote Recognition System for the Blind with an Accuracy of 98% on Smartphone Videos" Journal of The Korea Society of Computer and Information 24, no.6 (2019) : 67-72.doi: 10.9708/jksci.2019.24.06.067