title: Efficient Banknote Recognition Based on Selection of Discriminative Regions with One-Dimensional Visible-Light Line Sensor.
abstract: Banknote papers are automatically recognized and classified in various machines, such as vending machines, automatic teller machines (ATM), and banknote-counting machines. Previous studies on automatic classification of banknotes have been based on the optical characteristics of banknote papers. On each banknote image, there are regions more distinguishable than others in terms of banknote types, sides, and directions. However, there has been little previous research on banknote recognition that has addressed the selection of distinguishable areas. To overcome this problem, we propose a method for recognizing banknotes by selecting more discriminative regions based on similarity mapping, using images captured by a one-dimensional visible light line sensor. Experimental results with various types of banknote databases show that our proposed method outperforms previous methods.
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, Korea. phamdanhtuyen@gmail.com.
authors.forename: Tuyen Danh
authors.initials: TD
authors.lastname: Pham
authors.affiliation: Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, 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, 30 Pildong-ro 1-gil, 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, 30 Pildong-ro 1-gil, 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, 30 Pildong-ro 1-gil, 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: banknote recognition; one-dimensional visible-light line sensor; selection of distinguishable areas; various types of banknote databases