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Sensors 2015, 15(6), 14093-14115;

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

Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea
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)
Full-Text   |   PDF [10031 KB, uploaded 15 June 2015]   |  


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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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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