• 한국정보통신학회논문지
• /
• 제6권2호
• /
• pp.364-370
• /
• 2002

본 논문에서 일반 지폐 계수기에 권종구분 기능과 복수장 검출기능 그리고 위조지폐판별기 능을 부가시킨 지폐계수기를 구현하였다 권종구분에는 센서 신호처리기술, 위조지폐 판별에는 센서응용기술 및 정보처리 기술을 사용하였고, 고속계수에는 정밀기구설계 기술과 마이크로프로센서 응용기술을 사용하였다. 소프트웨어는 RTOS를 기반으로 한 C 언어를 사용하여 효과적인 제어 알고리즘과 실시간으로 신호를 처리함으로 써 디버깅 및 추가 하드웨어와의 접목이 어려운 점을 개선하였다. 센서 디바이스로는 하드웨어 비용절감과 처리속도를 감안하여 포토다이오드와 포토다이오드 응용제품, 그리고 자기저항센서를 사용하였다. 마이크로 콘트롤러는 Intel I8051 코어를 사용한 필립스사의 PCF 80C552-24를 사용하였다. 실험 결과 컬러복사 및 컬러 프린트로 만든 위폐가 잘 구분되는 것을 확인하였으며, 계수 중 이권종이 있을 경우 구분해 냄으로써 다른 지폐가 섞여 계수 되는 것을 방지 할 수 있었다.

• Journal of Information Processing Systems
• /
• 제16권1호
• /
• pp.224-237
• /
• 2020

Recognition of banknote serial number is one of the important functions for intelligent banknote counter implementation and can be used for various purposes. However, the previous character recognition method is limited to use due to the font type of the banknote serial number, the variation problem by the solid status, and the recognition speed issue. In this paper, we propose an aspect ratio based character region segmentation and a convolutional neural network (CNN) based banknote serial number recognition method. In order to detect the character region, the character area is determined based on the aspect ratio of each character in the serial number candidate area after the banknote area detection and de-skewing process is performed. Then, we designed and compared four types of CNN models and determined the best model for serial number recognition. Experimental results showed that the recognition accuracy of each character was 99.85%. In addition, it was confirmed that the recognition performance is improved as a result of performing data augmentation. The banknote used in the experiment is Indian rupee, which is badly soiled and the font of characters is unusual, therefore it can be regarded to have good performance. Recognition speed was also enough to run in real time on a device that counts 800 banknotes per minute.

• 대한기계학회:학술대회논문집
• /
• 대한기계학회 2001년도 추계학술대회논문집A
• /
• pp.848-852
• /
• 2001

A new approach to the design of bank note counters is suggested. Modern bank note counters are equipped with several types of sensors for counting and detection of counterfeit bank notes. To achieve higher speed of counting while maintaining the sensing capability, longitudinal feeding scheme is proposed. Several merits of longitudinal feeding are discussed. Taguchi method is used for the optimization of the feeding mechanism.