本文選題：激光碼光學(xué)識別　切入點：混合編程　出處：《浙江大學(xué)》2017年碩士論文

【摘要】：激光碼是一個無法擦除的永久性標記,它是通過激光直接在物體表面瞬間氣化而行成的圖形、文字、數(shù)字等信息,可以通過肉眼直接識別,主要用于產(chǎn)品的防偽、信息查詢、流向追蹤等應(yīng)用場景。隨著圖像識別機器視覺、圖像信息采集等相關(guān)技術(shù)的發(fā)展,光學(xué)字符識別技術(shù)也已經(jīng)廣泛的應(yīng)用在各項信息采集系統(tǒng)中。在這樣的應(yīng)用背景下,通過光學(xué)識別技術(shù)來識別激光碼信息也成了圖像處理中的研究熱點之一。本文使用常用光學(xué)識別算法,在基于Android系統(tǒng)的移動設(shè)備上實現(xiàn)了激光碼的光學(xué)識別軟件,論文的主要工作和取得成果如下:(1)分析了激光碼的圖像的一般光學(xué)特性,基于一般的光學(xué)識別算法流程以及Android平臺的特點設(shè)計了系統(tǒng)架構(gòu)。并通過對比的形式設(shè)計了與之對應(yīng)的激光碼光學(xué)識別算法流程。(2)根據(jù)應(yīng)用場景需求,分析了軟件的功能模塊,將軟件應(yīng)用分為登錄與數(shù)據(jù)同步、圖像采集、圖像處理三大模塊。登錄與數(shù)據(jù)同步負責(zé)同步用戶的圖像處理結(jié)果;圖像采集模塊負責(zé)采集含有字符信息的圖像;圖像處理模塊負責(zé)將含有字符信息的圖像進行數(shù)字圖像處理,并返回最終的結(jié)果。(3)根據(jù)應(yīng)用的各個模塊,開發(fā)實現(xiàn)了整個應(yīng)用程序。在圖像處理模塊中采用混合編程的方案,提高了程序的處理效率與實時性。(4)對于Android應(yīng)用內(nèi)存少的場景,設(shè)計了優(yōu)化的解決方案,通過回收部分資源、開辟緩存等操作優(yōu)化內(nèi)存使用,同時采用多線程模式增加程序的內(nèi)存容量。(5)對軟件進行測試與分析。通過測試用例分析應(yīng)用軟件的使用效果,并驗證了整體方案的可行性。
[Abstract]:The laser code is a permanent mark that cannot be erased. It is a graph, text, number and other information that is directly vaporized on the surface of an object by laser, and can be directly recognized by the naked eye. It is mainly used for anti-counterfeiting and information inquiry of products.Flow tracking and other application scenarios.With the development of image recognition machine vision, image information acquisition and other related technologies, optical character recognition technology has been widely used in various information acquisition systems.In such an application background, the recognition of laser code information by optical recognition technology has become one of the research hotspots in image processing.In this paper, the optical recognition software of laser code is implemented on the mobile device based on Android system with the commonly used optical recognition algorithm. The main work and results of this paper are as follows: 1) the general optical properties of the image of the laser code are analyzed.Based on the general process of optical recognition algorithm and the characteristics of Android platform, the system architecture is designed.According to the requirement of the application scene, the function module of the software is analyzed. The software application is divided into three modules: login and data synchronization, image acquisition and image processing.Login and data synchronization is responsible for synchronizing the user's image processing results; the image acquisition module is responsible for collecting images containing character information; the image processing module is responsible for digital image processing of images containing character information.And return the final result. 3) according to the application of each module, the development and implementation of the whole application program.In the image processing module, the mixed programming scheme is adopted to improve the processing efficiency and real-time performance of the program. (4) for the scene with less memory in Android application, an optimized solution is designed, and some resources are recovered.At the same time, the multithread mode is used to increase the memory capacity of the program. (5) to test and analyze the software.The use effect of the application software is analyzed by test cases, and the feasibility of the whole scheme is verified.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.41;TP316

【參考文獻】

相關(guān)期刊論文 前10條

1 李丹;;基于BP神經(jīng)網(wǎng)絡(luò)的多樣本手寫體字符識別[J];軟件;2016年07期

2 趙瑞珍;梁海;岑翼剛;胡紹海;;基于分類字典的多內(nèi)容灰度圖像彩色化算法[J];北京工業(yè)大學(xué)學(xué)報;2016年03期

3 尚曉波;楊成忠;王楠楠;;基于Radon變換和HSV彩色模型的傾斜車牌校正[J];工業(yè)控制計算機;2015年04期

4 楊海燕;蔣新華;聶作先;;基于并行卷積神經(jīng)網(wǎng)絡(luò)的人臉關(guān)鍵點定位方法研究[J];計算機應(yīng)用研究;2015年08期

5 陳培培;顧韻華;張俊勇;杜杰;;基于Android平臺的視頻字符實時識別研究[J];信息技術(shù);2014年07期

6 汪海燕;黎建輝;楊風(fēng)雷;;支持向量機理論及算法研究綜述[J];計算機應(yīng)用研究;2014年05期

7 孟強強;楊桄;童濤;張儉峰;;基于小波變換的多聚焦圖像融合算法[J];國土資源遙感;2014年02期

8 柯海豐;應(yīng)晶;;基于R-ELM的實時車牌字符識別技術(shù)[J];浙江大學(xué)學(xué)報(工學(xué)版);2014年07期

9 王春瑤;陳俊周;李煒;;超像素分割算法研究綜述[J];計算機應(yīng)用研究;2014年01期

10 姚振強;王建;胡永祥;程青青;秦玉;;基于RFID/GPRS/GPS/GIS的危險品物流智能監(jiān)管系統(tǒng)[J];公路交通科技;2013年02期

相關(guān)碩士學(xué)位論文 前1條

1 蔡慶;Android平臺煙草激光碼自動識別系統(tǒng)研究與實現(xiàn)[D];電子科技大學(xué);2014年

，

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