The system frame and workflow of our LPR System are introduced. Some problems and two of our proposed character recognition methods, i.e. method based on PCA-LSM for limited Chinese character recognition and method based on structural feature analysis for alphabetic and digital character recognition, are addressed in full details.

文中介紹了該系統(tǒng)的結構及工作流程曰夲少妇精品A片在线，以及兩種字符的識別方法：基于PCA-LSM的有限中文字符識別方法和基于結構特征分析的字母及數(shù)字字符識別方法igao视频激情在线。

The dissertation aims at automatic target recognition in images. For that purpose, a variety of algorithms proposed by the dissertation have been used in different stages of image recognition, which deal with image segmentation, boundary feature point extraction, curve feature extraction, object invariant representation and recognition.

本論文的研究目標是實現(xiàn)圖象中目標的自動識別，為此A级A级黄片一区，論文圍繞圖象識別的各階段欧美AⅤ免费福利视频，研究了圖象分割亚洲一本岛视频在线观看、輪廓特征點提取97人人插人人操、曲線特征提取、物體的不變性表征及識別等欧美性爱色视频。

Systematically analysing the method on the failure approach of patten recognition of the flood control hydro-project system, combining the social economical efficiency of the flood control system"s invalidation losses, the paper provides the concept "flood disaster risk " and constitutes the failure analysis approach of patten recognition system on the base of the flood progress. Combining with the subsystem functions and the failure probabilistic analysis of the hydro structure, the paper discusses the main failure approach of patten recognition and calculus of failure probability, calculates flood control hydro-project"s total risk.

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Its"classical framework"has been shaped in The struggle for recognition: intersubjects has three recognition forms of love, rights and solidarity; accordingly, the development process of individual identity assumes three disrespect forms: violation of body, denial of rights and insult (denigration and degradation of one's way of life); the historical process of social conflict and change can be explained in terms of inner moral logic of the mutual recognition relations.

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It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.

本文在上述研究的基礎上，取得了如下主要研究成果：①構造了一個通用的人臉輪廓模型表示无码aaa视频在线观看，解決了由于人臉圖象尺度A级毛片毛片免贯观看久、旋轉等因素而使得僅用單一輪廓表示無法正確提取人臉輪廓的問題，并給出了模型內亚洲欧美性视频、外能函數(shù)的定義国产a在无码线精品，同時給出了模型的全局與局部匹配算法，實驗表明人人色人人插人人操，使用這種表示形式以及匹配算法影视先锋资源av无码专区，能夠較好地提取人臉圖象的輪廓，可實際用于人臉圖象的分割黄片al区一区二；②深入分析了PCA方法的識別機制自拍日韩精品视频在线播放，得出不同成象條件下的人臉圖象構成不同的人臉圖象空間的結論，同時指出這也是造成PCA方法通用性較差的本質原因日韩黄片点结进入，并給出了不同人臉空間距離的一種度量方法欧洲美女色黄A片,视频，使用該度量方法能夠直觀地對人臉圖象空間進行分析；③構造了各種尺度模板99在线视频精品、旋轉姿勢模板以用于探測待識人臉圖象的尺度伊人91无码在线、旋轉角度，實驗結果表明泰国一级牲交片，探測精確度很高天天舔天天日天天射，從而有利于人臉圖象特征提取，以及圖象的有效表示欧美激情性A片三p；④構造了人臉圖象的各局部特征模板日韩欧美强迫视频网，用于人臉圖象局部特征的探測黄片视频在线播放；同時提出了一種新的人臉圖象局部特征探測法---逐步求精定位法，實驗結果表明久久精品性，使用這種方法能夠精確地得到人臉圖象各局部特征的位置日韩一区高清在线播放免费；⑤提出了一種新的人臉圖象表示法---雙屬性圖表示法；利用屬性圖來表示人臉圖象日韩黄色无码黄色，并提取圖節(jié)點對應圖象位置的局部主成分特征系數(shù)以及Gabor變換系數(shù)作為圖節(jié)點的屬性亚洲黄色高清视频在线观看，這種表示方法充分利用了人臉圖象的局部特征的統(tǒng)計特性，并且使用Gabor變換來反映人臉圖象的拓撲結構国产精品h片在线播放，從而使得雙屬性圖表示法具有較強的通用性超级碰免费；⑥在雙屬性圖表示的基礎上，給出雙屬性圖匹配函數(shù)及匹配算法欧美不卡三级视屏，在函數(shù)及算法設計過程中日本、乱论、欧美、国产，考慮并解決了光照、尺度你懂得福利影院、旋轉姿勢變化等因素對人臉圖象識別的影響黄色自慰在线网站，使得匹配算法具有較強的通用性；⑦設計并實現(xiàn)了一個通用的人臉圖象識別系統(tǒng)又长又大又粗又硬黄色网站，實驗結果表明久久国产精品首页久久久精品，該系統(tǒng)在圖象光照、尺度超碰在线97社区、旋轉姿勢情況下亚洲5566，得到了較好的識別效果。

The Speech Recognition System not only has high recognition veracity, small volume, economization for power consumption, low cost and high reliability, but also has high operation speed and the realization of real-time speech recognition.

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In order to improve the recognition performance, a keyword recognition strategy with the dialogue context embedded in it is proposed, including the expected focus given by the dialogue manager, the active lexicon/rules determined by the understander, and the recognition automata passed to the recognizer to direct the keyword recognition.

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We think that recognition criteria of impaired assets are combination of two-dimensional plane of the probable recognition criterion and the economic recognition criterion, while the permanent recognition criterion is a special case in which its probability is near 100 percent.

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To avoid the weakness of single-entry recognition, this paper introduces a new dimension recognition model-"Multi-Entry Self-Adaptive Dimension Recognition model", which combines all separate recognition algorithm into a well-constructed framework and utilizes the structural knowledge about dimension annotations to help recognizing graphic elements.

為克服現(xiàn)有方法的缺陷，本文提出一個多入口尺寸識別模型麻豆自拍偷拍爽图，將多種單一的尺寸識別方法有機結合起來日韩一区欧美，并利用尺寸標識的結構信息輔助尺寸結構元素的識別，有效提高了算法的識別能力黄色网站最新网址。

Based on the detailed analysis of existing dimension recognition methods, this paper concluded a common limitation of existing methods-"single-entry recognition", which has three distinct drawbacks. First, the only recognition entry reduces the capability to handle drawings of different qualities; second, the fixed search order for dimension elements block algorithm seeking all possible ways to find a dimension structure; third, single directional recognition of graphic elements uses no drawing context and thus can not make use of engineering knowledge.

本文分析了現(xiàn)有的尺寸識別方法欧美小说沦乱小说乱色，指出它們共有的局限性——單入口的識別過程：單一的識別入口限制了算法對不同質量圖紙的適應能力；固定的元素搜索順序阻礙了算法利用一切可能的途徑尋找和識別尺寸標識結構四川农村女人一级毛片；單向的獨立于上下文的圖形元素識別忽略了應用領域知識對識別過程的啟發(fā)作用真人视频一区。