【摘要】：隨著OCR技術(shù)的日漸成熟,移動互聯(lián)網(wǎng)的蓬勃發(fā)展,擁有OCR技術(shù)的移動終端產(chǎn)品逐漸深入到了人們的日常生活。移動終端的便攜性使其適合作為大規(guī)模移動OCR商用平臺。本文對Android框架和JNI技術(shù)進(jìn)行綜述,將Android平臺與OCR技術(shù)結(jié)合,實(shí)現(xiàn)了基于Android平臺文字識別系統(tǒng)應(yīng)用的設(shè)計(jì)與開發(fā)。論文主要工作內(nèi)容有:(1)針對文字識別系統(tǒng)相應(yīng)的技術(shù)和算法進(jìn)行了概括。研究對自然場景下所拍攝圖像進(jìn)行文本標(biāo)記的算法,為后續(xù)OCR部分中的文字分割提供相關(guān)參數(shù)。同時研究圖像預(yù)處理相關(guān)算法,在極值中值濾波基礎(chǔ)上,提出了一種適用于Android平臺的圖像預(yù)處理方案。(2)分析了 Tesseract工作流程與相關(guān)算法,利用JNI進(jìn)行Android應(yīng)用程序和Tesseract庫的交互,并將其移植到Android平臺,作為移動終端文字識別的引擎。設(shè)計(jì)了系統(tǒng)的框架和實(shí)現(xiàn)方式。最終實(shí)現(xiàn)了對英文字符和中文字符的識別。(3)測試和分析了系統(tǒng)性能。根據(jù)分析結(jié)果驗(yàn)證了 OCR系統(tǒng)性能良好,并針對不足之處給出了有效的改進(jìn)方案,為進(jìn)一步深入研究提供了可靠的數(shù)據(jù)支持。本文實(shí)現(xiàn)了 Android終端上中英文字符識別應(yīng)用的設(shè)計(jì)、開發(fā),對OCR理論研究和商業(yè)應(yīng)用都十分有意義。
[Abstract]:With the maturity of OCR technology and the vigorous development of mobile Internet, mobile terminal products with OCR technology have gradually penetrated into people's daily life. The portability of mobile terminal makes it suitable for large scale mobile OCR commercial platform. In this paper, Android framework and JNI technology are summarized, and the design and development of character recognition system based on Android platform are realized by combining Android platform with OCR technology. The main contents of this paper are as follows: (1) the corresponding techniques and algorithms of character recognition system are summarized. This paper studies the text marking algorithm of the images taken in natural scene, and provides the relevant parameters for the text segmentation in the following OCR part. At the same time, the correlation algorithm of image preprocessing is studied. On the basis of extremum median filter, an image preprocessing scheme suitable for Android platform is proposed. (2) the Tesseract workflow and related algorithms are analyzed, and the interaction between Android application program and Tesseract library is carried out by using JNI. And transplant it to Android platform, as mobile terminal text recognition engine. The framework and implementation of the system are designed. Finally, the recognition of English characters and Chinese characters is realized. (3) the system performance is tested and analyzed. According to the analysis results, the performance of the OCR system is proved to be good, and an effective improvement scheme is given in view of the shortcomings, which provides reliable data support for further research. This paper implements the design and development of Chinese and English character recognition application on Android terminal, which is of great significance to the research of OCR theory and commercial application.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TP391.41;TP316

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相關(guān)期刊論文 前10條

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本文編號：2187031