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

Sensors

Young Ho Park¹  Seung Yong Kwon¹  Tuyen Danh Pham¹  Kang Ryoung Park¹  Dae Sik Jeong¹  Sungsoo Yoon² 

[1] Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea; E-Mails:;Kisan Electronics, Sungsoo 2-ga 3-dong, Sungdong-gu, Seoul 133-831, Korea; E-Mail:

关键词: banknote recognition;    one-dimensional (line) sensor;    pre-classification;    USD banknote;   

DOI  :  10.3390/s150614093

来源: mdpi

【 摘 要 】

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%.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.