识别器

These methods include the keyboard, letter recognizer, block recognizer, and any other input methods installed on the device.

这些方法包括键盘、字母识别器、块识别器和设备上安装的其他任何输入方法。

Al use the rectangle distinguisher to distinguish the HMAC based on 3-Pass and reduced 4-Pass HAVAL.

本章使用了两种类型的识别器：差分识别器和矩形识别器对HMAC／NMAC进行攻击。

It can adjust the parameters of illation machine; adopt different recognition strategies according to different states and circumstances with which the recognition object deals.

该识别器的设计是模仿人识别字符的行为过程，它可以根据识别对象所处的不同状态和不同环境，调整推理机的参数和采用不同的识别策略以及选择不同的反馈结构。

In the layout analysis, we chose a bottom-up algorithm based on nearest neighbor connect-strength and line confidence to segment the image area, table area and text area; In the printed Chinese character recognition module, we calculate the degree of incorporative difference to match the character, also define a refusal class which could orientate the mathematical expression automatically; Put the expression into the formula processing module, then we chose the character segmentation method based on connectivity and the template match method to recognize the character in the mathematical expression and at last we used the structure analysis based on the character to transform the two dimension formula into one dimension Word EQ expression.

在版面分析中，采用基于最近邻连接强度和行列可信度的自底向上的版面分析算法，分割出图像区域、表格区域和文本区域；在汉字识别模块中，采用回溯切分方法切分出字符段，计算合并差异度与特征字典比较，通过引入汉字的拒识类，从而实现了公式的定位；将定位后的数学公式送入公式识别器，在公式识别器中采用基于连通域搜索的字符分割方法和模板匹配方法对字符识别，对于识别出的字符，再采用基于特征字符的结构分析方法，从而将二维的数学公式转化为一维的Word EO域语句。

This text is on the basis of reading meter system , Combine the actual conditions in life Have introduced the main function of the system of voice moil reading meter .

本文在抄表系统的基础上，结合集中抄表系统的实际情况，介绍了新研制开发的数传，语音智能识别器的主要功能，给出了该数传，语音智能识别器装置的软，硬件设计方案和系统工作过程。

In this chapter, three kinds of target recognition methods are performed, which are:①Target recognition method based on the description of polarization parameter plane. The echo polarization states of target are projected onto the polarization state plane described by the ellipticity ε and the tilt angle τ of the polarization ellipse, the change of parameter following ferquency becomes the chart. According to the changing trait of the chart, the multidimensional polarization feature space of target has been contructed. Furthermore, a series of polarization feature parameters used in designing the structure of target recognition device are extracted, and they are insensible to the posture of target.②Target recognition method based on the description of Poincare polarization sphere. The echo polarization states of target expressed by Stokes vector are projected onto the Poincare polarization sphere. The conception of polarization ferquency stability, which is used in describing the dynamic distribution characteristics of the target echo polarization states on Poincare polarization sphere, has been defined. A group of polarization feature parameters used in designing the structure of target recognition device are extracted, and they are insensible to the posture of target.③Target recognition method based on the description of frequency sensitivity. In accordance with the conception of the polarization state distance defined on Poincare polarization sphere, the frequency sensibility of the physical structure property of target has been investigated, the frequency distribution feature curves in PSD domain are obtained, and targets'features are extracted by means of the curve-fitting method with Least Square Criterion.

这章具体研究了基于三种极化散射特性描述的相应的目标识别方法：①基于极化参数平面描述的目标识别方法，将目标回波极化状态投影到以极化椭圆参数，即椭圆率角ε和倾角τ表征的极化状态平面上，参数随观测频率的变化就形成了图，根据图的变化特点构造了目标的多维极化特征空间，并提取了不敏感目标姿态变化的极化特征参数组来设计目标的识别器结构；②基于Poincare极化球面描述的目标识别方法，采用Stokes矢量表征目标回波的极化状态，并将其投影到描述极化状态的Poincare极化球面上，定义了极化频率稳定度的概念用以刻画目标回波极化状态在Poincare极化球面上的动态分布信息，提取了准方位不变性的目标极化特征，最后设计了目标的识别器结构；③基于频率敏感性描述的目标识别方法，通过在Poincare极化球面上所定义的极化状态距离的概念，研究的是复杂目标物理结构特性对探测信号频率的敏感程度问题，获得了在极化状态距离下的频率分布特性曲线，采用最小二乘估计曲线拟合方法，它既用于极化特征的降维，同时又直接将拟合参数作为目标的分类特征。

The result of scan is stored in the global variable token — this simplifies the recognizer.

3 识别器 Scan函数的结果被存取在全局变量中—-这简化了识别器的工作。

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Considering the speed and performa nce of the recognition system, Cyberglove is selected as gesture input device in sign language recognition system, DGMM is used as recognition technique, and hierarchical recognizer is used in recognizing mo dule, which can recognize 274 sign language words coming from the dictionary of Chinese sign language with an accuracy of 97.4%, based on Chinese sign language' s own characteristic.

考虑到系统的实时性及识别效率，该系统选取Cyberglove型号数据手套作为手语输入设备，采用DGMM(dynamic Gaussian mixt ure model)作为系统的识别技术，并根据中国手语的具体特点，在识别模块中选取了多层识别器，可识别中国手语字典中的274个词条，识别率为97.4%。

According to the study result of the recognizers based on Hidden Markova Model and on distance classification respectively,in this paper we introduce two handwriting recognition systems based on neural network ensemble,the comparison neural network recognition system and the permutation neural network recognition system.

国家自然科学基金项目（40776044）；上海市自然科学基金（08ZR1404600）马婉婕，硕士，主研领域：人工智能，图像处理在研究基于隐马尔可夫模型的识别器和基于距离分类器的识别器的识别结果基础上，提出两种基于集成神经网络的手写识别系统：比较神经网络识别系统和全排列神经网络识别系统。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。