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Research and Implementation of Paper Currency Technology

Author: WangSongTao
Tutor: FanJianYing
School: Harbin University of Science and Technology
Course: Signal and Information Processing
Keywords: Banknote image recognition Feature Extraction Defect Inspection Old and new discriminant Infrared authenticity of identification
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 245
Quote: 2
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Abstract


The banknote image recognition is more active in recent years in the field of pattern recognition issues , and has a very broad application prospects the banknote sorter developed by this technology is playing an increasingly larger role to the banks and other financial systems . The clearing system core technology is based on the real-time of banknotes image processing and image recognition . Clearing software to input notes image processing , including image brightness compensation , edge detection , tilt correction calculated clearing division results and sent to the control device clearing by clearing control device according to the result of clearing and sorter running state completed clearing action . The sorter system , the real-time requirements is very high, is banknote image sensor when , within a certain time must calculate the denomination of the bill , facing toward information . According to the characteristics of the different currencies and time requirements , the denomination of the new grid features combined with the Gaussian mixture model , oriented toward the identification method , the mesh feature plus distance classifiers recognition method compared with the original system , not only fast , but also has higher recognition rate . Different banknotes according to the printed pattern , using a new banknote new and old discriminating method , the old and the new discriminant bill reflective intensity - based banknote , to make up for a previously blank area of ??the banknote only for the old and new discriminant vacancies . Clearing the demand for banknotes incomplete , fouling detection method based on image edge features and a defacement detection method based on uniform characteristics effectively detect defacement feature of strokes on the banknotes and tear . New demand for the authenticity of banknotes recognition based grayscale image authenticity of the identification of the ratio of infrared banknotes and infrared banknote image authenticity identification based on gradient values ??, identification of mixed counterfeit bills , increase clearing system image authenticity of the identification of the function . The experimental results show that this paper banknote recognition technology to meet the recognition accuracy and processing speed banknote sorter requirements .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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