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Sensors 2015, 15(6), 14093-14115; doi:10.3390/s150614093

A High Performance Banknote Recognition System Based on a One-Dimensional Visible Light Line Sensor

1
Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea
2
Kisan Electronics, Sungsoo 2-ga 3-dong, Sungdong-gu, Seoul 133-831, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 16 April 2015 / Accepted: 8 June 2015 / Published: 15 June 2015
(This article belongs to the Special Issue Imaging: Sensors and Technologies)
View Full-Text   |   Download PDF [10031 KB, uploaded 15 June 2015]   |  

Abstract

An algorithm for recognizing banknotes is required in many fields, such as banknote-counting machines and automatic teller machines (ATM). Due to the size and cost limitations of banknote-counting machines and ATMs, the banknote image is usually captured by a one-dimensional (line) sensor instead of a conventional two-dimensional (area) sensor. Because the banknote image is captured by the line sensor while it is moved at fast speed through the rollers inside the banknote-counting machine or ATM, misalignment, geometric distortion, and non-uniform illumination of the captured images frequently occur, which degrades the banknote recognition accuracy. To overcome these problems, we propose a new method for recognizing banknotes. The experimental results using two-fold cross-validation for 61,240 United States dollar (USD) images show that the pre-classification error rate is 0%, and the average error rate for the final recognition of the USD banknotes is 0.114%. View Full-Text
Keywords: banknote recognition; one-dimensional (line) sensor; pre-classification; USD banknote banknote recognition; one-dimensional (line) sensor; pre-classification; USD banknote
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Park, Y.H.; Kwon, S.Y.; Pham, T.D.; Park, K.R.; Jeong, D.S.; Yoon, S. A High Performance Banknote Recognition System Based on a One-Dimensional Visible Light Line Sensor. Sensors 2015, 15, 14093-14115.

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