模式識別文字 的英文怎麼說

中文拼音 [móshìzhìbiéwénzì]
模式識別文字 英文
pattern recognition letters
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 式 : 名詞1 （樣式） type; style 2 （格式） pattern; form 3 （儀式; 典禮） ceremony; ritual 4 （自然科...
  • 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）
  • 文 : Ⅰ名詞1 （字） character; script; writing 2 （文字） language 3 （文章） literary composition; wri...
  • 字 : Ⅰ名詞1 （文字） character; word 2 （字音） pronunciation 3 （字體） form of a written or printed ...
  • 模式 : model; mode; pattern; type; schema
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  • 文字 : 1 （書寫符號） characters; script; writing 2 （語言的書面形式） written language 3 （文章形式） w...
  1. The proposed character recognition technology using pattern distinguishing and structure analysis can solve the problem that not all characters are in one plane and the box numbers are not horizontal in container number identification of intelligent container passageway

    摘要文章介紹的模式識別與結構分析組合及箱號校對的識別技術，很好地解決了集裝箱智能道口箱號識別中的字元不完全在一個平面上與箱號橫豎排列不定等問題。
  2. In this diploma thesis, the statistic and structural characteristic of musical score image is analyzed and synthesized by relevant technology of image project, pattern recognition, mathematical morphology, software engineering, music knowledge, midi and so on. the concept of direction number has been defined, and then the mathematical morphology theory is used to process musical score image and recognize musical information. specialized direction number algorithms are firstly used to preprocess a musical score image and then recognize stafflines, barlines, pitch, note values, clef, etc. finally the musical information of the musical score image is automatically stored in the midi format

    本文利用圖像處理、模式識別、數學形態學、音樂知識庫與midi等相關技術，分析與綜合數字樂譜圖像的統計與結構特徵，提出了方向數等概念，對樂譜圖像進行處理，利用直方圖技術與方向數演算法識別譜線、小節線、符乾等樂譜的主要框架，然後用數學形態學理論識別音高與時值，最後根據這些音樂信息，組合成音樂樂譜信息，並自動轉化成midi格式。
  3. A context - dependent polyphone disambiguation technology was proposed, combined with the decision tree and maximum entropy methods, the accuracy can be improved to 99. 82 %

    採取結合上下文信息及語法信息的多音字消歧技術，利用決策樹和最大熵等模式識別方法，使注音正確率達到99 . 82 % 。
  4. Since it is a new pattern recognition method, some fundament knowledge was discussed in this paper, such as the basic notion of subspace method, the construct of subspace classifier, the classing rules, the rejecting rules, etc. at last the representative blsm and alsm classifier were tested with multiple character sets

    作為一種新的模式識別方法，本文講述了子空間方法的基本理論、子空間分類器的構造、分類決策規則、拒識規則等知識，並用多種小字符集測試了具有代表性的blsm和alsm子空間識別器。
  5. A handwritten numeral recognition system based on the combined classifier is built up in this paper. many pattern recognition ways and many handwritten numeral characters are used in the system

    本文建立的基於組合分類器的手寫數字識別系統，綜合使用了多種模式識別方法，全面反映了手寫體數字各方面的特徵。
  6. Many apropriate features ways and many pattern recognition are used in the system. the results of experiment show that this system can get high correct rate and high reliability in recognising printing numerals with big revolving angle

    本文建立的基於組合分類器旋轉不變的印刷體數字識別系統，綜合使用了多種模式識別方法，全面反映了帶有多種旋轉角度數字的各方面特徵。
  7. Each unit of a speech recognition system is studied in this paper, which includes the preprocessing, the training of reference patterns, the connected digit speech recognition algorithm and the postprocessing of confusing pairs. the research of endpoint detection includes the endpoint detection not only in the quiet environment but also in the low signal - to - noise ( snr ) situation. as far as the training of the reference patterns is concerned, the modified k - means algorithm is adopted. the most important part of this paper is the research of connected speech recognition algorithm. two kinds of algorithm are put forward, which are based on the existing fruit of mutual - information match theory

    其次漢語連續數字發音連續程度較高，這主要由於漢語數字發音中零聲母語音出現的較多。另外漢語連續數字串中各個數字的協同發音現象較嚴重也給漢語連續數字語音識別帶來了困難。本文以互信息理論為基礎，從語音模式間的交互信息量的角度，研究了一個完整的語音識別系統的各個組成部分，其中包括預處理、參考模式的訓練、連續識別演算法以及后續處理部分。
  8. Lee, c. m. and a. kankanhalli, automatic extraction of characters in complex scenes, international journal of pattern recognition and artificial intelligence, vol

    1995年，李春茂博士和a . kankanhalli先生.在國際模式識別與人工智慧學報上發表復雜場景下字元的自動提取專題論文
  9. As the result, based on the principles of digital image processing and pattern recognition, this paper is focused on the methods and difficulties of acquisition, processing, recognition of pcb. with the use of borland c + + builder 6. 0, a set of pcb image detection and recognition software system was developed, which can realize automatic detection and recognition for types and the amount of faults on pcb

    基於上述幾點，本論文以數字圖像處理和模式識別為理論基礎，對pcb圖像的採集、處理、識別的方法和難點進行了深入的探討，並採用borland以c + + builder6 . 0編制了一套pcb圖像檢測與識別軟體，對印製板上存在的缺陷種類和數量實現自動檢測和識別。
  10. Applied in license plate segmentation problem, a new segmentation method of automobile license plate based on wavelet transform and neural network is pointed out [ 71 ]. 2 ) phase of image feature extraction : combined with the feature extraction of structural and statistical method, a method of image character feature extraction based on wavelet and moments analysis is presented [ 74j. 3 ) phase of image classificaton [ 73 ] : after investigation on intelligence recognition technology, the paper puts forward basic structure of recognition machine ' s model, and makes a primary research of basic structure and design method, then makes research of the multi - character method

    並應用於車牌分割問題，提出基於小波與神經元模式識別的車牌圖像分割方法； 2 ）特徵提取階段：將結構特徵提取方法和統計特徵提取方法的緊密有機結合，提出一種基於小波和矩的車牌圖像字元特徵向量提取方法； 3 ）分類識別階段：對智能識別技術進行研究，提出智能識別機的模型結構，對識別機的基本層次結構和設計方法進行初探；並針對多特徵方法進行一定的研究；本文提出的基於模式識別的圖像處理方法對其他領域的圖像處理具有一定的參考價值。
  11. Tone information isn ? basically used in current chinese speech recognition system, study on tone recognition is limited to tone recognition of isolated - word and multi - syllabic word, and research on tone patterns and tone recognition for chinese continuous speech is little

    現有的漢語語音識別系統基本上沒有利用聲調信息，聲調識別研究也多限於孤立字和多字詞的聲調識別，連續語音的聲調模式和聲調識別研究很少，本文在這方面開展了一點工作。
  12. 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。
  13. First of all we discuss the model of information purifying and bring forward the methods of setting up the according fuzzy set and subject function. secondly after analyzing the traditional technology and the strongpoint and the shortcoing of information purifying we improve it combining with the technique of fuzzy mode identifying, data warehouse, cache etc. and we can perpetrate an on - line and synchronous purifying through analyzing the text and picture showing in the pages of network. finally, we choose sql server 2000 to design the url database and delphi, wingate as the tool for system development to develop an efficient system of information purifying which can keep the network consumer especially young student apart from the intrusion of unfriendly information and make the environment of network pure and fine

    本文首先探討了該系統中的信息「凈化」模型，提出了模型中的模糊集及隸屬函數的構造方法；然後分析了傳統的信息「凈化」技術及其優缺點，結合模糊模式識別、數據倉庫、高速緩存等技術對傳統的信息「凈化」技術進行了改進，改進后的信息「凈化」技術可通過分析正在顯示中的網頁文字、圖片內容，做即時、同步性的網頁內容篩選；最後，利用sqlserver2000設計了url數據庫，選擇delphi 、 wingate作為系統開發工摘要具，設計開發了一種高效的網路「凈化」器，使網路用戶尤其是青少年學生遠離非友善信息的侵擾，讓網路環境更加純凈、美好。
  14. So, it is very important and necessary to study the technology of off - line handwritten character recognition. in this paper, we try to combine the neural network with pattern recognition technology and find a new solution of off - line handwritten character recognition

    本文試圖將神經網路技術與模式識別技術相結合，提出若干行之有效的手寫體字元識別新方法，為解決手寫體字元識別中所存在的困難找到切實可行的新途徑。
  15. Thus, the moving target tracking is a lot subject combining with knowledge of the digital signal processing, the image processing, pattern recognition, artificial intelligence and etc. at first, the automatic detection method of moving target is studied, and the background image ascertaining method based on the character matching is proposed

    因此，運動目標跟蹤是一個多學科交叉的研究方向，它融合了數字信號處理、圖像處理、模式識別的知識。本文首先研究了運動目標的自動檢測方法，提出了基於特徵匹配的背景提取法，並利用背景差法實現了運動目標檢測和提取。
  16. Pattern recognition ( character recognition, facial recognition ) experience is highly preferred

    有模式識別（如文字識別、人臉識別）經驗者優先考慮。
  17. In chapter 4, i performed the analyzing work with wavelet and fastica and find that wavelet was a high efficient way to filter the cep signal when i set the wavelet and scaling function to haar, decomposing level to 4, threshold method to fixed to threshold and white - noise structure to scaled white - noise. it took the advantage that reduced the accumulating times to 60 with more smooth signal and less distortion. but fastica takes no advantage on this facet

    本文通過小波變換和獨立分量快速分析模式識別的方法對cep數據進行了分析處理，同時與數字低通橢圓濾波器的處理效果進行了比較，發現用小波對cep的數據進行濾波處理時，可以將數據的疊加次數從120降低到60次左右，且信號的質量要比以前的處理方法好；但是獨立分量快速分析方法效果不很好。
  18. Thispaper addresses a case study on the combination of multiple classifiersand the integration of syntactic level information for the recognitionof handwritten arabic literal amounts. to the best of our knowledge, this is the first time either of these methods has been applied toarabic word recognition

    近年來，研究從孤立字元識別向連續復雜手寫模式過渡，多見于拉丁文連續手寫識別，如信件地址，在線填表和支票有效金額填寫等。
  19. Hidden markov models ( hmm ) have been widely used in pattern recognition and stochastic signal processing in recent years, and the best examples are speech recognition and character recognition

    近年來，隱馬爾可夫模型（ hiddenmarkovmodel ，簡記為hmm ）在模式識別與隨機信號處理中有著最廣泛的應用，最成功的例子如語音識別和文字識別。
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