筆劃字元 的英文怎麼說

中文拼音 [bǐhuàzìyuán]
筆劃字元 英文
stroke characters
  • 筆 : Ⅰ名詞1 （寫字畫圖的用具） pen; pencil; stylus; writing brush 2 （手法; 筆法） technique of writin...
  • 劃 : 劃動詞1 （撥水前進） paddle; row 2 （合算） be to one s profit; pay 3 （用尖銳的東西在別的東西上...
  • 字 : Ⅰ名詞1 （文字） character; word 2 （字音） pronunciation 3 （字體） form of a written or printed ...
  • 筆劃 : stroke筆劃元素 stroke element
  1. License plate binarization algorithm based on the features of characters ' strokes

    基於字元筆劃特徵的汽車牌照二值化方法
  2. 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。
  3. In character recognition, the inadvertent absence of ink within a character outline

    在字元識別中，字元筆劃內無意產生的缺乏墨水的空白點。
  4. Stroke character generator

    筆劃字元產生器
  5. Then utilized these skeleton to form a description with the feature of strokes and stroke structure based on the theory and method of graph theory, and fuzzy recognition technique is introduced to achieve character recognition with excellent robust

    在識別處理中，我們利用字元的筆劃特徵並引入模糊識別理論，提出了一種具有良好抗干擾性的快速字元識別技術。
  6. In character recognition, we proposed a concept of " rough skeleton ", and developed a technique of skeleton extractin g based on non - thinning process of characters via three steps : character discomposed based component, local skeleton extraction and global skeleton connection

    根據骨架特徵，利用的圖論的理論與方法，我們提出了一種提取包括筆劃特徵與筆劃結構特徵的字元識別特徵的提取技術。
  7. In the plate region of a vehicle image, the gray value varies frequently in cross - direction, so we define a parameter ". cross variance " to describe it. we also calculate other parameters to approximately locate the plate, they are the space length between two chars, the thickness of stroke, the peak and trough of gray value, the ratio of width and length, etc. at last, we exactly locate the plate by the theory of mathematical morphology

    該方法根據圖像車牌區域橫向灰度值變化頻率比較大這一特徵提出了橫向方差參數，並結合車牌的字元間距、筆劃粗細、灰度峰谷值、長寬比值等特徵粗定位車牌，在車牌的精確定位中利用了數學形態學的方法。我們從某高速公路收費站實地拍攝的照片中選取了1000多幅作為實驗樣本數據。
  8. Upon that an efficient thinning algorithm based on borderline ( etab ) is proposed which treats with individual pixels point in each step and picks up unilateral edge points sequence as the framework of a character image

    演算法每一步都針對單個的像素點作處理，並提取筆劃單側邊緣點序列作為字元圖像骨架。
  9. And while windows does support double - byte character input on a non - dbcs machine, the setup is more intrusive than simply toggling keyboard layouts - it involves installing dbcs fonts and using multi stroke key entry

    盡管windows確實支持非dbcs機器上的雙位元組字元輸入，但其設置比僅僅切換鍵盤布局要麻煩得多它涉及到安裝dbcs字體和使用多筆劃鍵輸入。
  10. The fuzzy division of the character lattice image can overcome the stroke position influence to the feature extraction. the fuzzy direction feature combines the fuzzy image division with the fuzzy direction property feature, which describes the stroke direction property of single edge point

    通過對字元點陣圖像的模糊劃分，克服筆畫位置對特徵抽取的影響；用模糊方向屬性特徵描述單個邊緣點筆畫方向屬性；模糊方向特徵是圖像的模糊劃分和邊緣點的模糊方向屬性特徵的結合。
  11. And then, a segment feature extract algorithm based on etab ( sfe _ etab ) is proposed. the basic idear of this algorithm is to find the inflexion, end point and broken point in the thinned image by utilizing the specialty of which complicated segements naturally disassemble basic segements after etab thinned a character primarily. after that, it joins the segments to get the beeline corresponding to each segement

    在上述研究的基礎上，提出了一種基於邊界細化的筆段提取演算法，演算法的基本思想是利用基於字元邊界細化演算法初步細化后字元中部分復雜筆劃已分解成筆段的特點，找出細化圖像中的拐點、端點、斷點;然後利用原圖的連通關系把斷開的基本筆段進行合併;最後進行筆段的提取。
  12. 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
  13. In the research of the applied ocr system, we divided the large character - set into a serial of smaller character - sets by applying an intelligent form description and analysis method. this method defines the content of the forms before processing, every filling - in position of the characters can only be filled in only with few characters, so the large character - set can be divided according to this situation. it ' s a useful method to solve many practical problems

    應用到多筆劃的英文字母的識別上c在實用系統的研究中，為了提高字元的識別率，我們提出了一種表格描述和智能分析方法，通過表格描述和定義，將較大的字符集按表格w 』出肚』 v曰h匕『 」 』 』山』皿仕狀』 p 』出心』兒人」可認八『丁」卞』義從』訂上中不同的填寫位置分解為一系列較小的字符集，從而大大提高了識別精度。
分享友人
分享到 Line

分享到臉書