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Paper Currency Numbers Recognition System Design And Research

Posted on:2010-01-02Degree:MasterType:Thesis
Country:ChinaCandidate:S LiFull Text:PDF
GTID:2198360302476671Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Paper currency numbers is unique, so it can be used to identify the paper money. Embedded technology and digital image recognition technology can be used to studythe paper money recognition system. The system either can be used to recognize the paper currency numbers automatically or can be used to supervise the financial circulation. The paper studies the system from an overall perspective. Its main contents are as follows:1,The hardware system: From a comprehensive consideration, it contains the follows parts: image acquisition module, the core processor, memory module, communication module, human-computer interaction and power modules etc. It also considers the issue of hardware anti-jamming.2,Image Pre-processing: Image Pre-processing is the basic of character recognition. First, we should understand the characteristics of the paper currency numbers. The priori knowledge is used to achieve the district's rapid positioning. Then, the following works are done for the rough positioning area, such as image de-noising, binarization, tilt correction, etc; Finally, we achieve segmention of characters based on the precise positioning.3,Character recognition: The relatively stable features of characters are selected to make a identification tree. Based on a consideration of the residual words, the identification trees are improved.4,Software systems: The following works are done for this part, such as cutting, grafting and guiding the linux system, adding the corresponding device driver, allowing the system to support the operation of the equipment.5,Expanding the system functions: From the view of practical application, the GUI graphical interface is introduced. Finally we give the support for database and system upgrade.
Keywords/Search Tags:paper currency numbers, S3C2410, image processing, character Recognition, Linux
PDF Full Text Request
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