發(fā)布時(shí)間：2018-07-24 09:02

【摘要】：維吾爾文是新疆維吾爾自治區(qū)少數(shù)名族的主要交流文字,為了便利當(dāng)?shù)厝藗兘涣?開展有關(guān)維吾爾文文字處理技術(shù)的研究是很有必要。在當(dāng)今社會(huì),常用電子信息設(shè)備都已經(jīng)進(jìn)入了平常百姓家,特別是手機(jī)移動(dòng)終端設(shè)備,已經(jīng)成為了人們?nèi)粘Ｉ钪胁豢扇鄙俚耐ㄐ殴ぞ?開展有關(guān)手機(jī)移動(dòng)終端上的維吾爾文文字信息處理技術(shù)已顯得迫切需要。目前,針對(duì)維吾爾文字的識(shí)別技術(shù)主要有印刷體識(shí)別和聯(lián)機(jī)手寫文字識(shí)別。在印刷體文字識(shí)別方面,已經(jīng)取得了較大發(fā)展,但有關(guān)聯(lián)機(jī)手寫文字識(shí)別方面的研究還比較少并且大部分研究都是以字母為基本識(shí)別單位的。以字母為基本識(shí)別單位,其優(yōu)點(diǎn)就是需要建立的字符模型少,識(shí)別效率快。但其缺點(diǎn)也較為明顯,首先要面臨的就是字母切分困難問題。因?yàn)榫S吾爾文屬于黏著性語言文字,其大部分字母都可以粘連書寫,具有天然的草書特點(diǎn),并且字母變體多,如何切分出正確的字母一直都是研究難點(diǎn)。再就是針對(duì)基本字母的識(shí)別無法滿足人們?cè)谟|屏手機(jī)上進(jìn)行單詞輸入的實(shí)際應(yīng)用需求。為了解決此問題,本文主要針對(duì)基于Android移動(dòng)終端上的手寫維吾爾文字識(shí)別方法進(jìn)行了研究。首先研究了在Android手機(jī)上針對(duì)維吾爾文單詞進(jìn)行采樣的方法,其次,以采集的樣本信息為基礎(chǔ),對(duì)維吾爾文單詞的預(yù)處理和特征提取方法進(jìn)行了研究。同時(shí)為了滿足可以識(shí)別維吾爾文整詞的需求,本文中根據(jù)維吾爾文單詞都是由多個(gè)連體段組成的特點(diǎn),選取以連體段為基本單位進(jìn)行特征的提取,然后通過拼接連體段特征構(gòu)成一個(gè)單詞的特征向量。最后,通過本文中提出的特征壓縮方法將已提取的單詞特征向量轉(zhuǎn)化為離散隱馬爾可夫模型可以讀取的觀察值序列,接下來使用隱馬爾科夫模型完成對(duì)單詞的建模和識(shí)別測(cè)試。本文主要研究了在安卓移動(dòng)設(shè)備上對(duì)手寫維吾爾文單詞進(jìn)行識(shí)別的方法。通過在手機(jī)上完成維吾爾文單詞采樣后,前期研究工作主要是在電腦端完成的,后期再將識(shí)別程序移植到手機(jī)設(shè)備,初步在安卓移動(dòng)終端上完成對(duì)手寫維吾爾文單詞的識(shí)別。
[Abstract]:Uygur language is the main communication character of a few ethnic groups in Xinjiang Uygur Autonomous region. In order to facilitate the exchange of local people, it is necessary to carry out research on Uygur character processing technology. In today's society, common electronic information devices have entered the homes of ordinary people, especially mobile terminal devices, and have become an indispensable communication tool in people's daily lives. It is urgent to develop Uighur character information processing technology on mobile terminal. At present, Uygur character recognition technology mainly includes print recognition and online handwriting recognition. In the field of printed character recognition, great progress has been made, but there are few researches on on-line handwritten character recognition and most of the researches are based on letters. Taking letters as the basic recognition unit, it has the advantages of less character models and faster recognition efficiency. But its shortcomings are obvious, the first is the problem of alphabetic segmentation. Because Uyghur belongs to adherent language and characters, most of its letters can be stuck and written, and has the characteristics of natural cursive script, and there are many variations of letters. How to cut out the correct letters has always been a research difficulty. Second, the recognition of basic letters can not meet the practical needs of word input on touch-screen mobile phones. In order to solve this problem, this paper mainly focuses on handwritten Uighur character recognition based on Android mobile terminal. Firstly, the method of sampling Uygur words on Android mobile phone is studied. Secondly, based on the sample information collected, the preprocessing and feature extraction methods of Uygur words are studied. At the same time, in order to meet the need to recognize Uygur integer words, according to the characteristics of Uygur words are composed of multiple conjoined segments, we select the conjoined segment as the basic unit for feature extraction. Then the feature vectors of a word are constructed by splicing the joint segment features. Finally, the extracted word feature vector is transformed into a sequence of observation values that can be read by discrete hidden Markov model through the proposed feature compression method in this paper. Then, the hidden Markov model is used to complete the word modeling and recognition test. This paper mainly studies the recognition method of handwritten Uygur words on Android mobile devices. After completing the Uygur word sampling on the mobile phone, the previous research work is mainly completed on the computer, and the recognition program is transplanted to the mobile phone device at the later stage, and the recognition of the handwritten Uygur words is preliminarily completed on the Android mobile terminal.
【學(xué)位授予單位】：新疆大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.43;TP316

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本文編號(hào)：2140883