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The Retrieval And Implementation Of Textbased Images Based On IOS Platform

Posted on:2017-06-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y YangFull Text:PDF
GTID:2348330518993446Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Nowaday,there are more and more kinds of education app.And by catching pictures through telephones'cameras,you can find the answer and analysis of any question on paper.After socializing,shopping,finance and so on,education have been impacted by the internet technology.This paper will use image recognition,as well as text retrieval,to initially realize an app which can search answer and analysis for problem on paper.This app is based on a C/S architecture.Firstly,you can take a picture of the problems on paper by iPhone,which always contains a lot of useless information,for example,the blank borders and noise.Secondly,you can use some pretreatments and OCR to recognize the useful information from the text based image.Thirdly,the information is updated to the backend server via network and searched in the database.Finally,the detailed information of problems can be obtained.User-end adopt OCR algorithm.Server adopt Windows,PHP,Apache and Mysql.And because Lucene search engine is written by java,so PHP-Java-bridge library is needed to handle the Mysql database and data retrieval system.
Keywords/Search Tags:OCR recognition, Lucene retrieval, iOS development, Server technology
PDF Full Text Request
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