A Bill-Counterfeit Prevention System using Digital Image Processing Techniques

• Main Authors: Yo-Chen Wang, 王佑禎
• Other Authors: Yuan-Hsiang Chang
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/49996122338576086633

碩士 === 中原大學 === 資訊工程研究所 === 94 === Counterfeit is one of the major crimes in financial market. The objective of this project was to develop a bill-counterfeit prevention (BCP) algorithm used in multi-function peripherals (MFPs) that automatically detects reproduction of U.S. banknotes. Our BCP algorithm includes: (1) complex background removal; (2) banknote location identification; (3) orientation correction; (4) area measurement; (5) front/back identification; (6) treasury seal analysis; (7) upside/down correction; (8) signature analysis; and (9) currency value analysis. To test our BCP algorithm, a database of 132 digital images with various amounts, i.e., $1, $5, $10, $20, $50, and $100, of U.S. banknotes were collected. In this preliminary study, our technique has achieved a detection rate of 78.3% in U.S. banknotes. In summary, our technique can be potentially used in detecting banknote reproduction such that extra enforcement measures (e.g., no scanning or printing, watermark & tracing system, etc.) can be achieved. Future investigation will also include hardware implementation adopting the BCP algorithm used in MFP copiers, scanners and/or printers.