Banknote Recognition System for Smart Phone Based on SIFT Algorithm

碩士 === 淡江大學 === 機械與機電工程學系碩士班 === 103 === The smart phone banknote recognition system is developed in this study to provide a recognizing banknote solution for the visual impaired by using smart phone. The recognition system is built on the Android platform which is the most popular for smart phones...

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Bibliographic Details
Main Authors: Kuang-Chen Chu, 瞿光宸
Other Authors: 葉豐輝
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/8txxk8
Description
Summary:碩士 === 淡江大學 === 機械與機電工程學系碩士班 === 103 === The smart phone banknote recognition system is developed in this study to provide a recognizing banknote solution for the visual impaired by using smart phone. The recognition system is built on the Android platform which is the most popular for smart phones. In this system a friendly operating interface for the visual impaired is designed. By pressing a start button on touch screen, the system begins taking photo, processing banknote recognition and gives the final result. In this study, the Scale Invariant Feature Transform is used to create feature points from the banknote image taken by smart phone. Then 128 dimensional vectors of feature points are used to compare with pre-built database of New Taiwan Dollars banknote which is also created by Scale Invariant Feature Transform. The recognition result with the value of the banknote is responded in voice to the visual impaired. It allows the visually impaired to easily know banknote denominations to solve the difficulty on banknote recognitions and improve convenience in their daily life.