recognition feature 中文意思是什麼

recognition feature 解釋
識別特徵
  • 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。
  • feature : n 1 形狀，外形；特色；（特指）好看的外表；〈pl 〉臉形；五官；面目，容貌，面貌，相貌。2 臉面的一部...
  1. Research show that wavelet varied - grid feature vector is characterized by high - stable and high - distinguish. based on this vector the apery cognitron has solved the harmony of single - classifier and multi - classifier and the harmony of multi - feature. the data shows that the recognition rate and reliability has been effective improve

    實驗數據表明，小波變網格特徵向量具有穩定性高、區分性強的特點，基於此的智能字元識別機解決了單、多分類器協調和特徵協調問題，在應用快速二值化方法加強處理實時性的同時有效地提高了車牌字元的識別率和識別可靠性。
  2. Recognition of palm - dorsa vein patterns using multiple feature fusion

    多特徵融合的手背血管識別演算法
  3. Eradiate noise recognition obtains feature information of movement under - water target, which is produced by passivity sonar, and then decides its category by referring to a priori knowledge

    本文的研究方法是從目標產生的輻射噪聲中提取出目標的特徵信息，結合已有的先驗知識，對目標的類別做出判斷。
  4. Svm maps input vectors nonlinearly into a high dimensional feature space and constructs the optimum separating hyperplane in the spade to realize modulation recognition

    支撐矢量機把各個識別特徵映射到一個高維空間，並在高維空間中構造最優識別超平面分類數據，實現通信信號的調制識別。
  5. Wavelet energy feature extraction and matching for palmprint recognition

    用於掌紋識別的小波能量特徵的提取和匹配
  6. As the crucial part of palmprint recognition, this paper mainly focuses on the ideas and usefulness and implementation of these two feature extraction algorithms

    作為掌紋識別的關鍵部分，本文著重闡述兩種特徵提取演算法的思想、作用和實現過程。
  7. A new fractal - based infrared image feature extraction method is presented and the detailed theoretic analysis and implement procedure of this algorithm is submitted and tested in some experiments. with the limitation of the line detection based on traditional hough transform that the information of the length and the end points of the line is unavailable, a new algorithm which makes use of the accessional strategy based on precognition information is put forward to meet the demand for more information of the line, simulation results show this method is effective. finally, the whole process of airport target recognition is presented and the result images are also given

    使用分形方法提取目標的特徵，在知識指導下，提出了一種基於目標特徵模型的降維的形態學分形維數計算方法，對傳統分形方法進行了改進，從理論上推證了演算法的合理性，並對演算法進行了模擬分析；針對傳統hough變換無法獲得線段端點和長度信息的局限性，提出了一種基於目標特徵先驗知識的hough變換融合策略，通過引入目標先驗知識，可以有效地獲得直線信息；對信息多而復雜的機場目標採用基於知識的目標識別方法，使用置信度模摘要型實現不確定推理，對目標進行識別判斷，將知識貫穿于整個識別過程中，對目標進行了有效地識別。
  8. In this paper, we established an automatic fingerprint recognition software system with micro - computer. it can pretreat, do feature extraction and recognize the input fingerprint dynamically

    本文建立了一個微機指紋自動識別軟體系統，該系統能夠動態地對輸入指紋圖像進行預處理、特徵提取和識別工作。
  9. This dissertation is chiefly act below work : ( 1 ) expatiating the equipments diagnosis technique development process and trend, putting forward the standpoint that giving systematical diagnosis to the mechanical and electrical equipment and expanding the technical application in equipment diagnosis, making it breakthrough the traditional application of maintaining etc. in equipments, still be used for improvement and development etc. s of new product ' s design ; ( 2 ) probing into vibration type and disposal method of vibration signal, the usual method of equipment condition recognition, the essential constitutes and development trend of observation and diagnosis system ; ( 3 ) introducing the development trend of domestic and international crusher and the distinguishing feature of double turnplate stike crusher which is a new product. according to the breakdown phenomenon in running process, establishing the fault tree and deducing every kind of foundation affairs resulting in fault ; ( 4 ) studying the calculation method of critical rotation speed

    本文主要做了以下工作： （ 1 ）闡述了設備診斷技術的發展過程及發展趨勢，提出了應結合實際對機電設備進行系統診斷的新的技術思路，用實踐證明了應當拓寬設備診斷技術應用的范圍，使設備診斷技術既可以在設備管理和設備維修中得到應用，也可以用於新產品的設計改進及開發等； （ 2 ）探討了振動的類型及振動信號的處理方法，設備狀態識別常用的方法，監測與診斷系統的基本構成與發展趨勢； （ 3 ）介紹了國內外破碎機的發展趨勢，以及雙轉盤沖擊破碎機這一新產品的結構和特點，並根據試機過程中出現的故障，建立了故障樹，並導出了導致故障發生的各種基礎事件； （ 4 ）研究了臨界轉速的計算方法和原理，用傳遞矩陣法計算出了破碎機內轉盤的臨界轉速。
  10. 2. investigating unclosed special structures ’ feature extraction and recognition

    2 .研究非封閉型奇異紋的特徵提取和識別演算法。
  11. The proposed method in this paper raised a way of relatively high performance recognition of pitman shorthand vocalized outline. the approach includes : a ) segmentation of the vocalized outlines, including correction of the over segmentation based on neural networks. b ) feature extraction and recognition of pitman shorthand consonant signs using neural networks

    在解決這些問題的基礎上，完成了本文，主要內容有： （ 1 ）速記手寫體的預處理； （ 2 ）輔音多音節音素符筆劃的二次分割法，以及基於神經網路的對過分割的檢測和糾正； （ 3 ）基於神經網路的pitman速記輔音符號的識別； （ 4 ）基於單個符號識別結果的整體單詞識別。
  12. According to the fact that the basic features of apalmprint, including principal lines, wrinkles and ridges, havedifferent resolutions, in this paper we analyze palmprints using amulti - resolution method and define a novel palmprint feature, whichcalled wavelet energy feature, based on the wavelet transform. wef can reflect the wavelet energy distribution of the principal lines, wrinkles and ridges in different directions at different resolutions scales, thus it can efficiently characterize palmprints. this paperalso analyses the discriminabilities of each level wef and, according to these discriminabilities, chooses a suitable weight for each levelto compute the weighted city block distance for recognition. theexperimental results show that the order of the discriminabilities ofeach level wef, from strong to weak, is the 4th, 3rd, 5th, 2nd and 1stlevel

    作為對現有人體生物特徵識別技術的重要補充，掌紋識別有著其獨特的優點：掌紋比指紋含有更多的可區分信息掌紋採集設備的價格比虹膜採集設備的價格要低廉得多掌紋特徵比簽名特徵更為穩定掌紋識別可獲得比人臉識別更高的識別精度掌紋含有獨特的線特徵包括主線和皺褶，這些線特徵具有很強的區分能力，並可以在低解析度圖像中提取出來可以將手掌上的各種特徵融合在一起建立一個高精度的生物識別系統等。
  13. Based on perspective model, it was proposed that drawing camera inner parameters with physics method ; in image processing, especially the particularity of robot object localization and tracking, it was proposed that several effective methods of image smoothing and sharpening, edge detection, boundary tracking ; at the same time, in order to complete object recognition, we introduced the methods of drawing object character parameters ; in object image matching, two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration, we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points, and completed object movement parameters estimate and object tracking and prediction, and presented experimental result

    以透視成像模型為基礎，提出了用物理方法來提取攝像機內部參數；從圖像處理角度出發，針對機器人目標定位與跟蹤的特殊性，提出了幾種行之有效的圖像平滑、銳化、邊緣提取以及邊界跟蹤的方法；同時，為了完成目標的識別，介紹了目標特徵參數的提取方法；在目標圖像匹配上，提出了兩種快速有效的目標匹配演算法；基於目標深度信息恢復原理，提出兩種目標特徵點三維坐標恢復的方法，同時完成了目標運動參數估計和目標的跟蹤與預報，並最後給出了實驗結果。
  14. This method can reflect local signal feature and well perform in the experiments. we also present an integrated electromyographic signal ( emg ) pattern recognition scheme. the application of an artificial neural network ( ann ) technique together with a feature extraction technique, for the classification of emg signals is described

    利用高階譜技術提取肌電信號的特徵信息，然後利用奇異值或者其它方法對二維特徵矩陣進行優化，將優化之後的一維特徵向量輸入神經網路分類器進行模式識別，這種方法能夠初步識別不同模式的上肢運動。
  15. In chapter three, the author presents the two main questions in face recognition respectively : feature abstraction and classifier designing

    第三章針對人臉識別中特徵提取和分類器的設計兩大問題分別進行了詳細的闡述。
  16. The neural network technology and feature abstraction method is combine to recognition the picture in this thesis, and the art - 2 neural network is adopted. did a amount of simple and involved experiments on picture recognition

    因此，本文作者將神經網路技術同圖像特徵提取相結合，採用art - 2型神經網路技術對圖像進行識別，並進行了大量簡單和復雜圖像識別實驗。
  17. Caption recognition feature extraction using wavelet transformation and the combination of statistical language model and hidden markov model methods finally achieved the identification of caption

    基於統計機器學習的字幕識別提取小波變換的特徵並使用隱馬爾可夫模型和統計語言模型的識別技術相結合的機器學習方法，實現字幕文字的識別。
  18. 6 brunelli r, poggio t. face recognition : feature versus templates. ieee trans

    他們指出，局部特徵能夠獲得比全局特徵更好的識別效果。
  19. A combined recognition feature extraction method based on vehicle target contour is given. this kind of recognition feature includes global shape features and local statistic features of target contour ’ s horizontal and vertical part. it can be used in visible light and infrared situation, and it has good stability and consistency even if the illumination and texture changed

    基於這些特點，本文給出一種基於車輛目標輪廓的組合識別特徵提取方法，所提取的組合特徵包括以車輛目標輪廓為基礎的全局形狀矩特徵和以車輛目標輪廓縱橫向分量為基礎的局部統計特徵，該方法具有較強的穩定性和一致性。
  20. A parallel distributed sequential fusion detection algorithm is also developed for the multi - band target detection problem. the optimized fusion algorithm is determined based on the theory analysis and the experiment ’ s results. the exo - atmospheric ballistic target ’ s optical signature and recognition feature is studied

    針對多波段條件下的目標融合檢測問題，採用并行分散式序貫融合演算法對各通道的檢測結果進行融合處理，並根據理論分析和模擬實驗結果確定了最佳的序貫融合檢測演算法。
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