handwritten character recognition 中文意思是什麼

handwritten character recognition 解釋
手寫字元識別
  • handwritten : adj. 手寫的，用筆寫的。
  • character : n 1 性格，品格；特性，性狀，特徵；【生物學】形質。2 身分，地位，資格。3 名聲，聲望。4 （戲劇、小...
  • recognition : n. 1. 認識；識出；識別；面熟，認得；招呼。2. 承認，認可。3. 褒獎，表揚；感謝，酬勞。
  1. Testing system on handwritten chinese character recognition

    高性能的車牌識別系統
  2. Handwritten character recognition based on bp neural network

    神經網路的手寫字元識別
  3. This paper proposes a new method on remote data collection system which embeds the handwritten chinese character input in the terminal product and handwritten chinese character recognition software in the server on the other side of the internet. the chinese characters are input via the touchpad and converted into digital data signals

    在該系統中，將手寫輸入和網路功能嵌入工業產品中，在產品端實現用觸摸屏進行手寫數據輸入，手寫數據以漢字點陣形式通過撥號網關傳送給遠端企業網服務器，然後在服務器端使用漢字識別軟體實現文字脫機識別。
  4. The key of off - line handwritten character recognition are feature extract and classifier design

    脫機手寫體字元識別的重點與難點在於字元的特徵提取與分類器的設計。
  5. It is the key to solve the problems such as face identification and handwritten character recognition

    無論是人臉識別還是字元識別，抽取有效的鑒別特徵是解決問題的關鍵。
  6. In this project, a new handwritten character recognition system has been designed successfully, which has 3 levels

    本項目在漢字識別領域最新成果的基礎上設計並開發了三級識別策略的漢字識別系統。
  7. That is the task of handwritten character recognition. but the problem is too large and difficult to be solved all

    手寫體漢字的識別是尚未攻克的難題，相關的資料有限，在短期內試圖完全解決這一難題是不大可能的。
  8. 4. bp neural network arithmetic is used in the handwritten numeral recognition system. in order to reflect the whole character, we use many input modes to train the networks

    將bp神經網路引入到手寫數字識別中，並採用多種輸入模式對不同的bp網路進行訓練，從而達到全面反映數字特徵的目的。
  9. 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。
  10. Small set handwritten chinese character recognition

    小類別數手寫漢字識別
  11. A handwritten chinese character recognition method based on integrated bp network

    網路的手寫漢字識別方法
  12. The character collection of nust603hw, including the samples of nineteen capital chinese currency characters, make the design of the handwritten chinese character recognition system for special fields possible

    字庫nust603hw ，包含貨幣金額手寫大寫十九個漢字的樣本，它的建立為進行專用領域手寫體漢字識別系統的設計提供了可能。
  13. This paper does research on the off - line handwritten chinese character recognition, which is important to the chinese character information processing automation and new generation of intelligent computer input

    脫機手寫體漢字識別研究對漢字信息處理自動化，對開拓新一代計算機的智能輸入有重要意義。本文對脫機手寫體漢字識別進行了探討研究。
  14. Handwritten character recognition research is a branch of the area of optical character recognition ( ocr ), which deals with the recognition of handwritten english character or digits using computer

    手寫字元識別是ocr的一個分支，它的研究對象是：如何利用電子計算機自動辨認手寫的英文字元和阿拉伯數字。
  15. In this paper, we focus our attention on linear projection analysis and develop some new algorithms as regards it. and, these algorithms are verified to be effective in the application of face identification and handwritten character recognition

    該文就有關線性投影分析的理論與演算法進行了深入的研究，所提出的演算法在人臉識別和手寫體字元識別方面得到了較成功的應用。
  16. By this time, the rate of single handwritten character recognition, especially figure recognition, has reached 95 %. but to the sequential characters, or mathematic character recognition there is not a perfect product

    到現在，單字元手寫體識別，尤其是數字識別率接近95 ，但對于連續的字元書寫，尤其是有數學符號的情況下，由於聯機手寫的隨意性比較大，寫作不規范，還沒有一個成熟的產品。
  17. 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。
  18. 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。
  19. Research on off - line handwritten character recognition has great worth. the information of off - line handwritten character is very scarce ( only 2d pixel matrix ), and the handwritten characters have so many classes, complex strokes and shape distortion. all of above have become the obstacle of character recognition

    由於在脫機手寫體字元識別中，處理的僅是二維的字元點陣圖像，而且存在字元類別多、字形結構復雜、手寫字元的變形很大等問題，目前脫機手寫字元識別技術還很不成熟，仍處于實驗室研究階段。
  20. The problem of chinese handwritten character recognition by computer is thought of one of the most difficult problems in the field of pattern recognition. in our project of " computer chinese handwriting identification " and " chinese handwriting sort in internet ", we always need to pick some special hand script from the manuscript for discrimination. but this work is very troublesome, uninteresting and easy to make mistakes

    在我們所從事的《計算機筆跡鑒別》和《網路化筆跡檢索》項目的研究與應用中，經常需要從選定文稿中挑選出常見字以備鑒定，然而，從大段的手寫文稿中挑選出所需要的字跡是一件繁瑣的事情，工作量大、容易出錯。
分享友人
分享到 Line

分享到臉書