title: A High Performance Banknote Recognition System Based on a One-Dimensional Visible Light Line Sensor.
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%.
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. fdsarew@hanafos.com.
authors.forename: Young Ho
authors.initials: YH
authors.lastname: Park
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. sbaru07@dgu.edu.
authors.forename: Seung Yong
authors.initials: SY
authors.lastname: Kwon
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. phamdanhtuyen@dongguk.edu.
authors.forename: Tuyen Danh
authors.initials: TD
authors.lastname: Pham
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. parkgr@dongguk.edu.
authors.forename: Kang Ryoung
authors.initials: KR
authors.lastname: Park
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea. jungsoft97@dongguk.edu.
authors.forename: Dae Sik
authors.initials: DS
authors.lastname: Jeong
authors.affiliation: Kisan Electronics, Sungsoo 2-ga 3-dong, Sungdong-gu, Seoul 133-831, Korea. ssyoon@kisane.com.
authors.forename: Sungsoo
authors.initials: S
authors.lastname: Yoon
keywords: USD banknote; banknote recognition; one-dimensional (line) sensor; pre-classification