| Summary: | 碩士 === 元智大學 === 資訊工程學系 === 103 === It has the high danger for visually impaired people on trading activity in their life. One of the problems for them have differentiate the denomination when they do trading. The paper money have the point can offer visually impaired people to touch in order to check the denomination and it very useful, but when the paper money got worn, it will become difficult to differentiate.
My thesis on paper money about identifying system. The main purpose is development the computer visual technology to identify denominations use on the smart phone. The system, including hand and paper money identify. First, the system is aimed at the color of hands to find the hands location from the image. To acquire the hands location, the system will get the screen and to execute surf after checking algorithm. The characterise sifts the surf from characteristic data by after every identity test. Sift purpose is for shortening the execute time and actual usability. The match result is using voice to tell the user and it shows experiment can match within five seconds and get actual usability.
Keyword : Android、SURF、Skin Color Detection、Banknote Recognition
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