識別字型 的英文怎麼說

中文拼音 [zhìbiézìxíng]
識別字型 英文
recognition font
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 字 : Ⅰ名詞1 （文字） character; word 2 （字音） pronunciation 3 （字體） form of a written or printed ...
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  • 字型 : computer font
  1. The disquisition includes choice of algorithm, accomplish of algorithm, collection of learning sample, parameter of net, shortcoming of bp algorithm, extraction and reduction form line etc. referring to shortcoming of traditional bp algorithm, a modified learning factor with adaptation is introduced. because of every different font has robust, the way based chain coded and knaggy feature is used. a bizarre sample feature database is constructed for speeding up modified bp learning and classification

    本文對人工神經網路理論進行了研究，探討了網路形式及演算法的選擇、演算法的實現、學習樣本的收集、網路參數選擇、 bp演算法缺陷、表格線提取、還原、生成及字元識別、還原生成等問題，並針對bp演算法的缺陷提出了和實現了改進型bp演算法，使網路學習效率提高，對不同人的不同字型字體有較強的魯棒性，採用了基於鏈碼特徵和凹凸分佈特徵的方法來抽取字元特徵。
  2. The purpose of this thesis is to realize a gmm - based connected digits speech recognizer

    本文實現了一個基於gaussian混合模型的連續數字語音識別器。
  3. Another feature of the teletype is that it can read the patterns of holes and translate them into printed form again.

    電傳打字機的另一個特點是它能識別孔型，同時能把它重新轉換成原來的列印形式。
  4. Then the thesis presents a probabilistic viterbi algorithm to segment address block and gets the character. finally, after independent chinese characters are recognized and fitted with address database, we get the address. in this way, automatic recognition of envelope ' s address is realized

    對得到的地址塊提出了一種利用概率型viterbi演算法進行字元切分的方法，最後將切分好的單個字元進行識別，並與地址數據庫進行匹配，從而得到地址，進而實現了信封地址的自動識別。
  5. The automatic identification of the modulation types has been applied to many fields such as source identification, interference identification, radio interception, - electronic countermeasures, etc. the modulation recognizer based on the decision - theoretic approach and the constellation diagram is proposed and the signal ' s kurtosis is used as the indicator to differentiate the analogue modulation from the digital modulation

    通信信號調制類型的自動識別廣泛應用於信號確認、干擾辨識、無線電偵聽、電子對抗和信號監測等領域。本文提出基於決策論與星座圖的綜合調制識別器，使用信號的峰度區分調制類型是模擬調制還是數字調制。
  6. The application of empirical mode decomposition on handwritten numerals recognition

    經驗模型分解在手寫體數字識別中的應用
  7. This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored

    二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論，特別對利用空間信息進行閾值選取進行了詳細論述；在對通過對基於數學形態學的細化的基礎上，討論序貫同倫形態細化演算法和保形的快速形態細化演算法；然後依據聯機字元識別原理框圖，分析了手寫數字的結構特點，提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術，對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述；繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究，對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振（ art ）網路的字元識別分別進行了詳細討論，並引入置信度分析將多個分類器進行了混合集成；最後簡單闡述了手寫數字識別的典型應用，對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。
  8. Interactive activation model of word recognition

    字詞識別的相互作用激活模型
  9. Firstly, the pretreatment of character to be recognized is researched, stressed discussing the subdivisional process of character, and a kind of fast shape preserving morphological thinning algorithm is used. in the following, how to construct the structure model on the basis of characteristic point ) sub - stroke and their interrelation is discussed, and a kind of method that describe sub - stroke through the feature of the sequence of curvature is brought forward. finally, the paper adopts the recognising model of printing number that base on repository, and describes the constructing method of repository

    文中首先對待識別字元的預處理進行了研究，著重探討了字元的細化過程，採用了一種基於數學形態學的保形的快速細化演算法；接著探討了如何以特徵點和子筆段及其相互關系為基礎構造結構模型，提出了一種以曲率序列性質描述子筆段的方法：最後採用了以知識庫為基礎的印刷體數字識別模型，並詳細地描述了知識庫的構造方法。
  10. Connectionist model of naming and recognition of chinese character

    漢字識別與命名的連結主義模型
  11. In order to identify the dependent relationship between words based on statistics efficiently and accurately, this paper has rectified part of the shortcomings of present algorithms by making the best of the distribution characteristic between words, distinguishing the collocation, coordinate and affiliation relationship between words, identifying them respectively by different strategies, presenting a new module of matching between strings and a new module of dependent intensity between words, constructing the tree of dependent relationship, pruning the constructed tree of dependent relationship and identifying some latent dependent relationship

    摘要本文擴展和改進了現有的詞語間依存關系定量識別演算法，充分考慮詞項概率分佈的影響；明確區分詞項之間的搭配關系、並列關系和從屬關系，針對它們不同的特點，提出不同的識別演算法；提出字串匹配模型；充分考慮兩個詞項之間相互位置的離散分佈和距離的影響、以及它們的概率分佈特性，提出詞項間的依存強度模型，並據此構建詞語間依存關系樹；提出更新策略，對已經建好的依存關系樹進行裁剪，並挖掘出潛在的依存關系。
  12. With the development of multimedia and virtual reality, efficient 3d modeling algorithms which can realize the real - time computation are increasingly needed. 3 - d model is essential to the object recognition, automatic design, video games, and digitalization of historical relics, reconstruction of historical buildings, and visual scene reconstruction

    隨著計算機視覺和虛擬現實的發展，三維模型重構問題日益成為計算機科學中的一個重要課題， 3d模型廣泛用於對象識別，工業自動設計，視頻游戲，動畫製作，數字文物檔案建立，建築物原貌恢復等方面，同時要求重構有較高的效率以實現實時計算。
  13. In this thesis, the methods of feature extraction and classification frequently used in character recognition are demonstrated and the relationship between classification and integration is thoroughly analyzed. according to the basic idea of comprehensive integration, classification and integration methods are developed and a recognition system is established for typical character set

    本文全面闡明了文字識別中的特徵提取和分類方法，對集成與分類之間的關系進行了深入的分析，然後根據綜合集成法的基本思想，針對典型的漢字字符集的特點，提出了相應的識別和集成方法。
  14. The dynamic characteristics identification model of high - speed flexible rotor sys tem has been set up, the technology of steady state sine excitation and digital elliptic filter is used in order to identify the system parameter, and by constrasting the real measure to the theoretical computation, it proved that the method is accurater

    建立了高速柔性轉子系統特性參數識別模型，並採用穩態正弦激勵及數字橢圓濾波器技術對系統參數進行識別，通過對實測和理論計算結果的比較，證明該方法有較高的精確性。
  15. The other one is the synthetical local nonlinear pca neural network recognition model constructed by combining the nonlinear generalization of pca and sub - space pattern recognition technology. we use the two recognition systems in handwritten digitals and characters recognition and obtain some satisfactory results. compared with some traditional classifiers, our systems have better recognition performances

    而基於非線性pca的神經網路識別模型對傳統的線性pca進行了推廣，並利用了子空間的模式識別方法，針對每個字元類使用神經網路建立多個模板，然後利用pca神經網路和聚類演算法構造自動編碼器組對模式類進行重構，避免了特徵提取的復雜性和信息的丟失，提高了系統的識別性能和運算效率。
  16. In this dissertation a syllable - based method of tone recognition for continuous speech is proposed. this method includes the following procedures : syllable segmentation, pitch detection, feature extraction, tone pattern analysis, and tone recognition. our research is show as follows : ( 1 ) syllable segmentation in continuous speech

    漢語連續語音的聲調識別比孤立字和多字詞的聲調識別更困難，本文提出了基於音節的聲調識別思想，研究了其中涉及的音節分割、聲調獲取、特徵提取、聲調模式分析和聲調識別模型等問題。
  17. In view of the feature of neural network and its advantages in pattern recognition, we have a great deal work in off - line handwritten character recognition based on neural network. we present two recognition methods based on neural network. one of which is the hybrid neural network recognition system, a multi - level neural network classifier constructed by using the multi neural networks integration technology

    由於神經網路的特點及其在手寫體字元識別領域體現出的潛力，本文對基於神經網路的手寫體字元識別技術進行了大量的研究工作，提出了兩種新穎的基於神經網路的手寫體字元識別模型，其中，基於混合神經網路的手寫體字元識別模型利用了在抗干擾和描述字元拓撲結構方面具有互補性的中心投影特徵和llf特徵，使用多神經網路集成技術構建了多級的神經網路分類器。
  18. We raised a new model that we disassemble the character into several parts, which could be recognized by computer topologically based on the high - frequency wavelet coefficients vector, disregarding the traditional extraction method that used the statistical or structural feature based on the individual pixel in the 2 - dim plane of character. moreover, the concept of multi - dim cognizing feature model was put forward by encoding the character, according to its " location and run - length information. the information confusion and redundancy could be largely eliminated, as leaded to the improving of the preciseness when recognizing the character

    克服以往結構、統計方法在字元特徵提取中無法剔除噪聲、偏移等冗餘信息的不足，以認知的新思路分析圖像，給出基於小波子圖的筆劃定義，給出一種注重反映字元部分最為重要的筆劃的類型、數量、遊程、位置特徵，改進了基於字元二維圖像的統計與結構特徵提取方法因變形，畸變造成信息混淆和冗餘；給出了提取多屬性字元認知特徵的方法和識別機制，實驗表明，該方法能有效的識別字元； 3
  19. Finally, the paper emphasis on license plate locating, characters separation and character recognition by using digital image processing technology. through information processing and analysis matching of the vehicle license, vehicle color and vehicle type, a new vehicle legitimacy authentication mechanism which improved systematic security is proposed

    最後，應用數字圖像處理技術，重點對車牌定位、字元分割、字元識別、車型識別進行了研究，結合停車場的實際情況，通過對車輛牌照、車輛顏色和車輛型號信息進行分析處理和匹配，提出了一種新的車輛合法性認證機制，提高了系統的安全性。
  20. Those experiments that are made in the specimens of different revolving angles of multi - fonts " printing numbers shows that the recognising model has good effect in recognising printing number with big revolving angle

    在多種字體的印刷體數字的不同旋轉角度樣本上進行的實驗表明，該識別模型對具有大旋轉角度的印刷體數字的識別效果良好。
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