查询词典 character recognition

This system includes two steps of segmentation and recognition. In the second step, first, a segmentation method is adopted to find the character nonlinear segmentation paths by combining gray scale and binary information based on a Viterbi algorithm; then, a recognition method of using a Viterbi algorithm is adopted to dynamically combine and recognize the character candidates with their reliabilities generated from the recognizer.

在第二次切分识别过程中，首先，在候选切分点区域，结合灰度图像与二值轮廓信息，采用基于Viterbi 算法搜索的非直线路径进行切分，得到有效的切分路径；然后，结合分类器输出的可信度，采用Viterbi 算法来合并前面得到的候选切分图像块，进行动态切分与识别。

This paper mainly researches on character segmentation and recognition techniques which are used in license plate recognition system.

文章研究了车牌识别系统中的字符分割和识别技术。

This paper mainly discusses the Han Character Internal Codes recognition algorithms in the Multi-lingual Environment, and provides four recognition algorithms, such as Internal Code Bound Recognition Algorithm, Interpunction Recognition Algorithm, Han Character Frequency Recognition Algorithm and Semantic Recognition Algorithm.

在此基础上，本文对不同的识别算法进行分析和评估。在对目标样本的测试中，以上算法的识别率最高可以达到 99 9%以上。1 前言汉字内码向ISO/IEC 1 0 6 46过渡是必然的趋势，但这需要一个较长的过渡期，在这期间计算机内将存在多种标准不一，互不兼容的内码，称之为多文种的环境[1] 。

Seven experiments were conducted in the present study to test and verify two inferences:(1) In character decision performance, high frequency character have not character stroke and component number effect, but low frequency character is an essential condition to stroke and component number effect;(2) In prime condition, when SOA is very short (SOA=56ms), component character can prime the recognition of low frequency compound characters, but failure to prime the high frequency compound characters.

在此基础上，本文通过7个行为实验验证了这一假设的两个重要推论：(1)在字决定任务中，高频汉字不存在部件数和笔画数效应，而低频字不必然存在笔画数和部件数效应；(2)在启动条件下，当SOA较短（=56毫秒）时，成分字仅对低频合体字有启动效应，而对高频合体字没有启动效应。

As to the abuse of checking and recognition completed by man after the character pressed and as to the information recorded of product by producer, subject of automatic recognition protuberant character was proposed.

针对标牌压印结束之后的合格检测以及生产厂家对产品信息的录入都靠人工检查和识别来完成的这一弊端，提出实现标牌凹凸字符自动识别的研究课题。

Through carries on the Hough transformation after the license plate outline, with one kind of new K average value algorithm fits the edge straight line, obtains the straight line angle of tilt then to carry on the adjustment to the image; Uses one kind of fast pattern plate match union vertical and the horizontal axis projection carries on the division to name board various characters, raised the character division speed and the precision; Finally separately carries on the recognition to the alphanumeric character and the Chinese character character, the alphanumeric character uses the BP neural network algorithm, but the Chinese character character uses based on the most close neighbor sorter template matching algorithm.

通过对牌照轮廓进行Hough变换后，用一种新的K均值算法拟合边缘直线，得到直线倾斜角度进而对图像进行校正；采用一种快速的模版匹配结合垂直与水平投影法对船名牌上的各字符进行分割，提高了字符分割的速度和精度；最后分别对数字字符和汉字字符进行识别，数字字符采用BP神经网络算法，而汉字字符采用基于最近邻分类器模板匹配算法。

A character-codes model based pattern recognition method by using amplitude data of targets frequency response is proposed after the establishment of high frequency response equation of radar targets. The method uses the same unvariant character-codes to express the same target of different angles and uses sequential separating of regions of target's reference variables to obtain multiple coding vectors of all regions for every target. The category and pose of target can be determined after a two-staged classification processing such as coding processing of target range profile data and errors correcting processing of coded data. The two-stage classification results are used to target identification as posterior hypothesis to be tested by sufficient convincing and necessary convincing. The character-codes model based pattern recognition method is also adaptive to variation of target angles and controllable in error probability. Time-consuming and complicated iterative computation is not necessary in the train process of pattern recognition.

首先建立了雷达目标的高频频率响应方程，这种方程将目标多散射中心理论与目标局部谐振理论有机地结合起来；进而提出了目标多频响应结构成像方法，这种方法将瑞利区频率响应或谐振区频率响应曲线的不同部位用各种不同的近似方法去逼近，通过特征谱估计方法将目标的局部频响特征与宽带距离响应特征结合起来；然后提出了一种基于姿态角变化区域的序贯划分与多模匹配的特征编码识别方法，这种方法具有能适应目标姿态角的变化以及能控制识别的差错概率α等优点，在目标识别时只需要目标在少数有限个频率激励下的幅频响应数据。

Firstly, this thesis lucubrates in the method theory of character space and does a lot of experiments and researches in the two steps, character expressing and measure of similarity. Realize the object recognition system based on the character subspace, which adopts the effective and ameliorative means to solve the problems existing in the course of recognition such as illumination and pose estimation, so enhances the robustness of recognition.

首先深入研究特征空间方法原理，并对识别过程中的两个关键步骤：特征表达和相似性度量做了具体实验和研究工作，实现基于特征空间目标识别系统，其中采用了几种有效的改进方法，有效的解决了识别过程中存在的诸如光照以及3D目标姿态估计等问题，提高了识别鲁棒性。

In this paper,the whole recognition process was studied in detail,using character over-segmentation method and BST character structure analysis algorithm,the general formula could be recognized and remerged successfully,and the recognition ratio is very high.

系统地研究了数学公式识别的全过程，使用自适应字符分割方法和基线结构分析算法成功地实现了一般数学公式的识别，识别率比较高，较好地完成了公式识别任务。

The second, from the view of theoretic interpretation, sums up the character of imagibility in the cartoon language, the connection between the character and cartoon's visual presentation, as well as the re-recognition of visual sense aroused by the character.

第三章则从动画的受众角度来探讨动画视觉呈现的效果，并将动画置于当下现实语境之中，由动画视象凸显与现实物象的距离的特点入手，探讨动画的视觉世界所产生的实际效用。

Breath, muscle contraction of the buttocks; arch body, as far as possible to hold his head, right leg straight towards the ceiling (peg-leg knee in order to avoid muscle tension).

呼气，收缩臀部肌肉；拱起身体，尽量抬起头来，右腿伸直朝向天花板（膝微屈，以避免肌肉紧张）。

The cost of moving grain food products was unchanged from May, but year over year are up 8%.

粮食产品的运输费用与5月份相比没有变化，但却比去年同期高8％。