識別字形 的英文怎麼說

中文拼音 [zhìbiézìxíng]
識別字形 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...
  • 字形 : character pattern
  1. 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。
  2. 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。
  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. 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。
  5. In character recognition, the distance between the undistorted surface of a document and a specified part of a printed character

    在字元識別中，文卷未變形表面與列印字元的指定部分之間的距離。
  6. Each particle, as it is discovered, will be given some kind of alpa - numeric identifier ( an address of sorts ) for book - keeping puposes

    每一個被發現的微粒會有一個字母-數字形式的識別符（分類地址） ，為了登記用。
  7. Alphanumeric character sets for optical recognition - part 1 : character set ocr - a - shapes and dimensions of the printed image

    光學識別用字母數字字符集第1部分: ocr - a字符集印刷圖象的形狀和尺寸
  8. Alphanumeric character sets for optical recognition - part 2 : character set ocr - b - shapes and dimensions of the printed image

    光學識別字母數字字符集.第2部分:字符集ocr - b .印刷圖像的形狀和尺寸
  9. At the time, no one in america could read hieroglyphics, but when professional egyptologists first saw facsimiles of smith ' s papyrus, they recognised them as fragments from an ancient egyptian book of the dead that bore no relation to his translation

    當時，美國沒人懂象形文字，但是當專業的埃及古物學者第一次看到史密斯的紙草摹本時，他們識別出這些文字來自於古埃及的《亡靈書》的一些片段，和他的譯文沒有絲毫聯系。
  10. Using digital logging data of logging curves to resume lithology section, based on single well sedimentary facies analysis of cored well, typical sedimentary microfacies and the corresponding electrofacies models are established. each after extracting the essential factors of logging curves, each logging microfacies recognize model are set up to automatically identify sedimentary microfacies by the method of bayes identification and neural networks technical

    利用測井曲線的數字化資料，進行巖性剖面恢復，通過取芯井建立沉積微相模式及測井相模式，提取測井曲線形態要素參數，用bayes判別法進行沉積微相自動識別程序。
  11. 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。
  12. Also, through the spectral analysis in digital image processing, methods of geometric correction and accuracy analysis, strengthening of information and extraction of the feature information of emerging of ratio and information ; the extraction of species and division into sub - compartment by using multi - supplementary information sources " ; and from the identification ability of a compartment, division into sub - compartments, land type and species and the ability of accuracy of geomatric correction and map - drawing ; they can be used as the comprehensive assessment of the ability of landscape planning and many other aspects, and determine the adaptiue faculty of different information sources in the forest management inventory

    經過數字圖像的光譜分析、多種方法的幾何校正及精度分析、信息增強、比值及信息融合等多重技術進行特徵信息的提取，並應用dem 、林相圖和地形圖等多種輔助信息源，提取樹種、小班區劃等信息，提高了林班區劃、小班區劃、地類和樹種識別的能力與幾何校正精度、制圖能力，可用於風景區劃等方面進行綜合評價，確定不同信息源在森林資源二類清查中的適用性能力。
  13. At the base of converted - state chart, building morphology table, designing a section of program for every status, in order to enable lexical analysis to recognize word from character string

    在狀態轉換圖的基礎上，構造詞形表，為每個狀態設計一段處理程序，使詞法分析能從字元串中識別單詞。
  14. The faster the computer science and technology develop, the more valuable yuan ' s academic thinking about chinese characters will make

    如果說拼音文字較適合於人類機械式的手力勞動? ?便於書寫，那麼，圖形文字則更適合於計算機的智能勞動? ?便於識別。
  15. Analysis and recognition of the structure of chinese characters

    漢字構形分析與識別
  16. 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。
  17. This paper presents an study on the interior orientation techniques in computer vision, and proposes a collimation mark recognition algorithm which applies to practicality images on barycenter of symmetrical figure

    介紹了對計算機視覺中數字影像的內定向技術的進一步研究，對現有框標識別方法進行了改進，提出了基於對稱圖形重心的框標自動識別方法
  18. I the time course of graphic, phonological and semanticinformation processing in chinese characterrecognition i

    漢字識別中形音義激活時間進程的研究
  19. We have successfully designed an experiment system for the no invasion blood pressure measurement with our own ip. in our research and develop task we have done a lot work to study foreign instrumen and design ideas. this experiment system is based on msp430 series mpu with excellent erformance and applies advanced digital signal process and intelligent technology. in hardware design, the following means were applied : after a lot of experment and fully knowing about the characteristic of the pulse wave signal, we have designed the accurate and credible circuit to collect the pulse wave signal ; power circuit, communicaion circuit, power drivers circuit have been disigned for the instrument. in software design, the following arithmetic were applied : 1

    軟體方面進行了以下演算法研究: 1 .綜合試驗各種數字信號處理方法對波形進行平滑處理: 2 .採用lms自適應方法對脈搏波信號進行了降噪處理; 3 .應用微分閉值法提高了脈搏波信號的檢出率，有效識別了運動干擾引起的偽波信號; 4 .利用測振法基本原理並進行大量實驗的基礎上，提出了比較準確可行的收縮壓和舒張壓的識別演算法，使測振法在本無創血壓儀中得到了完整而充分的應用。
  20. 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
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