recognition algorithm 中文意思是什麼
recognition algorithm
解釋
褒別演算法- 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。
- algorithm : n. 【數學】演算法；規則系統；演段。
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Road recognition algorithm based on inhomogeneous features and spline model
基於非同質性特徵和樣條模型的道路識別演算法 -
In this paper, the contrast of original image is enhanced by nonlinear transformation based on the characteristics of grain image ; after comparing several methods of threshold segmentation and analyzing their performance and applicability on grain image, the adaptive threshold segmentation based on gradient image is presented ; the noise of binary image is reduced with morphological filter, the hollow in binary image is filled in and a recognition algorithm is designed to remove agglomerate particle ; on the basis of mathematical morphology two methods are adopted to segment agglomerate grains that are not agglomerated tightly ; the parameters of size and shape, perimeter, area, diameter, complexlity, longest feret diameter, shortest feret diameter etc, are extracted. this technique is applied in measurement of pearl powder ' s particle size
本文根據粒度圖像的特點，採用非線性對比度增強處理改善顆粒顯微圖像的對比度；對多種閾值分割方法進行比較，分析了它們的性能和用於粒度圖像的適用性，在此基礎上提出了一種基於梯度圖像的動態閾值分割方法；對獲取的顆粒二值圖像進行形態濾波和空洞填充，設計了識別演算法去除凝聚體；對重疊不太嚴重的粘結顆粒採用了兩種基於數學形態學的分割演算法；提取了周長、面積、粒徑、復雜度、最長feret徑、最短feret徑等大小和形狀特徵參數，對珍珠粉等粉體粒度進行了測量。 -
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 -
A recognition algorithm of chinese character based on stroke segment and order
基於筆劃和筆順的漢字識別演算法 -
In character recognition module, i developed a fast alphabetic, digital and chinese characters recognition algorithm based on wavelet transform
字元識別模塊，作者提出了一種基於小波變換的識別圖像中英文字母、數字以及漢字字元的快速演算法。 -
The data is collected and compressed by the single chip computer system and transferred to the server of the data process center via internet. in the server, a handwritten chinese character recognition algorithm using chinese character feature extraction method is proposed. in order to recognize the handwritten chinese character, a new model database of the chinese character is setup
文中詳細介紹了數據採集終端的硬體設計，闡述了8位單片機系統中手寫漢字點陣模型的建立、版式處理、漢字點陣的壓縮演算法，服務器端漢字點陣預處理方法，筆劃特徵的提取，小字庫量漢字字模的建立形式，並提出了一種基於點陣形式的手寫漢字辨識方法。 -
And a simulation tracking system is designed based on runway recognition algorithm
其中根據機場跑道的識別演算法文中還設計了一個簡單的模擬目標跟蹤系統。 -
This paper analyses deterioration model of bar code signals after the point spread function convolution, and presents two kinds of recognition algorithm in correspondence to different bluring degrees of bar code signal : one based on midpoints detection and the other based on waveform analysis
分析了條碼信號經過點擴展函數卷積后的降質模型。針對條碼信號模糊程度的不同，提出兩種識別方法：基於中點檢測的條碼識別方法和基於波形分析的條碼識別方法。 -
Some strategies introduced in this recognition algorithm are proved to be effective and improve the performance of the algorithm. experiments show the recognition algorithm based on subpixel edge detection proposed here is advantageous over traditional recognition algorithm and can get a more accurate edge position between bar and space
實驗表明本文的識別演算法具有很好的性能，這里提出的基於亞像素邊緣檢測的識別方法優于傳統的條碼識別方法，能夠獲得更為準確的條空邊界位置。 -
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。 -
Including : ( 1 ) a face recognition algorithm using support vector machines is introduced. the svm training time is reduced dramatically owing to a fast svm training method which gets support vectors in advance and then uses an iterative and circulative strategy for training. ( 2 ) a twice fingerprint matching algorithm is introduced
（ 1 ）利用支持向量機來實現人臉識別，採用了一種支持向量機快速訓練演算法:即利用svm訓練中只有支持向量起作用的特點，採用預先提取支持向量和循環迭代的方法進行svm訓練，大大減小了訓練規模，提高了訓練速度。 -
In multi - pose face recognition based on a single view : ( 1 ) the technology approaches of multi - pose face recognition are firstly studies based on single view or small samples in details. ( 2 ) a new multi - pose face recognition algorithm is developed based on single view. it first generates the multi - pose face images based on a fit method with a high order polynomial function. then, it does face recognition based on the single view and the generated multi - pose images
在研究基於單視圖的多姿態人臉識別方面，一、詳細研究了基於單視圖或小樣本的多姿態人臉識別的可能技術途徑；二、提出了一種新的基於單視圖的多姿態人臉識別技術，它先基於高次多項式函數擬合方法由單視圖通過變形生成多姿態人臉圖像，后基於該單視圖和生成的多姿態圖像進行多姿態人臉識別，實驗結果表明該演算法識別正確率大大高於經典演算法；三、詳細研究了幾種基於單視圖或小樣本的多姿態人臉圖像生成技術，它們是基於單視圖或小樣本的多姿態人臉識別的關鍵技術。 -
Aimed at mark line navigation, this dissertation takes car - like agv as the research objective, suggests a navigation route recognition algorithm based on linear model, which resolves the problems such as noise elimination, the edge of the mark line obtaining and the location of the agv during the process of image processing
針對標識線導航，本文以兩輪驅動自動引導車為研究對象，提出了基於線性模型的路徑識別演算法，解決了圖像處理過程中的噪聲消除、邊緣提取、車體的位置信息分析等問題。 -
After more than 30 years, face recognition technology under well - controlled environment is going to practical stage, while the recognition performance dramatically degrade under uncontrolled environment such as variant illumination, head poses, facial expressions, occlusion on face and so on. therefore, one of key issues in face recognition is the study of robust recognition algorithm
經過三十多年的研究，人臉識別技術在理想環境條件下已達到實用程度，但是在環境不可控的情況下，由於光照、姿態、表情、遮擋等變化的影響，已有的人臉識別演算法性能大大下降，其應用范圍也受到了較大的限制。 -
Data compression and pattern recognition algorithm in a universal infrared
通用學習式紅外遙控器中數據壓縮與識別演算法 -
Human face recognition algorithm based on wavelet subbands and decision fusion
基於小波子圖和決策融合的人臉識別演算法 -
Anfis - based matching algorithm and compensated recognition algorithm are robust to noise and distortion, and achieve a high accuracy. all of the experiments are tested on standard fp database, and compared accuracy with other related methods. the element and grate of what can result in error is analyzed and compared by experiments
所有的演算法都經過標準指紋庫驗證，並與相應的其他方法在誤差率方面作了比較，分析了導致演算法誤差的因素及程度，結出了實驗結果和對比，分析了演算法的不足之處，並提出了改進方向。 -
Secondly, comparing with the algorithm that was given by english scholars a. k. nandi and e. e. azzouz in 1995, this dissertation presents a modified automatic recognition algorithm of six kind of digital modulation types such as 2ask, 4ask, 2psk, 4psk, 2fsk and 4fsk, which only uses four key features, and has a very great exaltation in the rate of correct recognition and the performance of signal to noise, we puts forward the constitution of the best threshold which is applicable to the signal that changes within the scope of the signal to noise rate ( snr ) from 5db to 30db, and the overall success rate is not lower than 92 % when snr is over 7db
其次，針對1995年英國學者a . k . nandi和e . e . azzouz提出的針對2ask 、 4ask 、 2psk 、 4psk 、 2fsk和4fsk這六種常用的數字調制信號識別的演算法，提出了一種數字信號調制方式識別演算法（ dmra ）的改進演算法。該演算法僅利用四個特徵參數，就可以識別這六種調制方式，而且在調制識別率和信噪比性能上都有了很大的提高，能夠在信噪比不低於7db時，對實際信號的識別正確率高於92 % 。並且提出了最佳門限的設置方法，設置的門限適用於信噪比在5db ~ 30db范圍內變化的信號。 -
In this paper, the key technology - fp recognition algorithm is launched based on the analysis of current situation of automatic fingerprint identification system ( apis ). the structure - based fp representation and its matching algorithm are proposed to address the shortcoming of traditional minutiae - based method, which makes use of limited information in fp images
針對傳統基於細節點的指紋識別方法只利用了指紋圖像中的有限信息（細節點）的不足，本文提出了基於指紋脊線紋理結構的特徵表達及其匹配演算法，沖破了傳統方法的局限。 -
Then for the computing time of the traditional pca - based face recognition algorithm is very large, we use wavelet transform to reduce the dimension of images, and decrease computation complex
針對傳統pca （主分量分析）方法運算量大的特點，本文通過小波變換對輸入圖像進行降維處理，降低了后續演算法的復雜度。
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