查询词典 handwriting recognition

First scanning the known handwriting materials then number them ,In pretreatment, we convert the valid part of the image into a standard size, as images carries out duotone and go throw off chirp handling in order to achieve better effect.draw features from the known handwriting materials with the Co-occurence,especially,we divided a copy of handwriting into 25 little pieces with the size of 128*128 ,drawing features from every little piecese with four directions(0 degree, 45 degrees, 90 degrees as well as 135 degrees) and calculate the four major feature values( veins and the statistical quantity of veins contrast and the statistical quantity of veins consistency Shang the statistical quantity of statistical quantity as well as the veins correlation of gray scale ), preservation all the feature value that drawn from all known ma terials to the handwriting characteristic database,then input the unknown handwriting materials, also using the method of the Co-occurence to draw those features, recycling the minimum European Distance law match the unknown writing material feature value with the handwriting characteristic feature database, export the label of the known hand writing materials which is most similar to the unknown material with minimum European Distance, and then we can confirm who is the author of the unknown material.

首先将笔迹材料作为图象扫描输入，并对其进行编号。预处理部分可将笔迹图象的有效部分规范化到一个统一尺寸，接着对其进行二值化和去除噪声的处理，以便于更好的提取图像的特征。在此我们采用了灰度共生矩阵法提取手写笔迹材料的纹理特征，与以往有所不同的是，我们将一份手写材料分割成64块大小为80*80象素的子图象，每个小块都从四个方向（0度、45度、90度以及135度）来更全面的提取特征，并计算出四个最主要的特征值（纹理一致性的统计量、纹理反差的统计量、纹理熵的统计量以及纹理灰度相关性的统计量），将从所有已知材料提取的特征值保存到纹理特征库中，对于待检手写材料，同样采用灰度共生矩阵的方法提取其纹理特征，再利用最小欧氏距离分类法将从待检手写材料中提取的特征值与纹理特征库中的特征值进行比对，与欧氏距离比对值最小的相匹配，输出匹配成功的原材料的标号，进而识别出待检材料书写者的身份。

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] 。

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。

In this paper, the principle of caution to start the basic theory, expounded the principle of care and the role of meaning, emphasizing the principle of caution for owners, managers, creditors, as well as the importance of accounting personnel; introduced the principle of prudent accounting practice in China and the need for careful application of the principle of the basic requirements; detailed exposition of the principle of prudent asset impairment provision, recognition and measurement of intangible assets, fixed assets depreciation method choice, the recognition and measurement of income, inventory valuation methods choice, or there are matters of identification and disclosure of the application and embodiment of the main; focused on the principle of prudent asset impairment in the recognition, the recognition and measurement of intangible assets, fixed assets depreciation method choice, revenue recognition and measurement, inventory valuation methods, or there are matters of recognition and disclosure issues that exist in reality; and on the careful application of the principle of how to correctly Suggestions: correct handling of the principle of caution to the principles and other relations, reduce the tax policy and differences in accounting policies, appropriate use of the principle of prudence, strengthen auditing and supervision, and strengthen the internal mechanism to improve the accounting standards in the application of the principle of prudent operational, financial reporting to strengthen the disclosure of information, enhance professional accountants capable of making judgments.

本文从谨慎性原则的基本理论入手，阐述了谨慎性原则的含义及作用，强调谨慎性原则对于所有者、管理者、债权人以及会计人员的重要性；介绍了谨慎性原则在我国会计实务中应用的必要性及谨慎性原则的基本要求；详细论述了谨慎性原则在计提资产减值准备、无形资产的确认与计量、固定资产折旧方法的选择、收入的确认与计量、存货计价方法的选择、或有事项的确认与披露方面的主要应用和体现；着重研究了谨慎性原则在资产减值准备的确认、无形资产的确认与计量、固定资产折旧方法的选择、收入的确认与计量、存货计价方法选择、或有事项的确认与披露中存在的现实问题；并提出了关于谨慎性原则如何正确运用的几点建议：正确处理谨慎性原则与其他各项原则的关系、缩小税收政策与会计政策的差异、适度运用谨慎性原则、加强审计监督，强化内在约束机制、提高会计准则中谨慎性原则应用的可操作性、加强财务报告信息披露、提高企业会计人员的职业判断能力。

The recognition performance of face racial recognition is the best than face gender recognition and joint property recognition. Asymmetrical perception effect in human face area is appeared in facial recognition.

人脸种族属性的认知绩效最好，性别属性和联合属性的认知绩效相对较差，脸部区域形成人脸认知的知觉不对称效应。

Up to this time, the major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size In this paper, an approach to large vocabulary, continuous Chinese sign language recognition is presented, which uses subwords instead of whole signs as the basic units Since the number of subwords is limited, HMM based training and recognition of the CSL signal become more tractable and have the potential to recognize enlarged vocabularies Furthermore, the proposed method facilitates the CSL recognition when finger alphabet is blended with gestures About 2400 subwords are defined for CSL One HMM is built for each subword, and then the signs are encoded based on these subwords A decoder that uses tree structured network is presented Clustering of the Gaussians on the state, language model and N best is used to improve the performance of the system Experiments on a 5119 sign vocabulary are carried out, and the correct rate is over 90% for continuous sign recognition

迄今为止，手语识别面临的最大问题是如何解决词汇集易扩充的连续识别提出一种大词汇量连续中国手语识别方法，将词根作为识别基元，由于基元的数目是有限的，因此基于HMM的手语信号的训练和识别变得比较容易处理，可以实现更大词汇量的识别除此之外，所提方法还有利于实现手势语和手指语的混合识别从中国手语中共整理出2 4 0 0多个词根，为每个词根建一个并行的HMM模型，对各数据流的HMM模型进行聚类，确定出手语识别的基元根据这些基元对手势词编码，并建立了树状搜索网格，使用状态结点上高斯密度函数聚类、语言模型和N Best方法提高系统的速度和精度对 5 119个手语词做了实验，连续语句的识别率可在 90 %以上

This paper disertation explores on modeling and automatic recognition of NP in Russian sentences in light of Natural Language Processing, including linguistic foundation in the course of modeling, modeling of NP, multilevel description of models, modeling of AP with patulous components and automatic recognition of NP. In the process of recognition attention is paid to theoretic precondition of automatic recognition of NP, combinational rules of models, boundary mensuration of NP, automatic recognition of NP with postpositive attributes.

本文从自然语言处理的角度研究俄语中NP构句块的模式化和自动识别问题，内容涉及NP构句块模式化的语言学基础、NP构句块的模式化及模式的多层级、多平面形式化描写(包括带有扩展模式形容词的模式化)、NP构句块自动化处理，包括NP构句块处理的理论前提、模式组配规则、NP构句块的边界测定、带后置定语的NP构句块识别等。

Firstly, the system is divided into four sub systems: Chinese characters recognition system, character recognition system, recognition system including characters and digits, and digital recognition system; Secondly, the statistic information about left scan line free length of every character is used as a group feature of car plate, which will accomplish the recognition together with statistic template by weighted sum.

首先将车牌字符识别分成四个子识别系统——汉字识别系统、字母识别系统、字母和数字混和识别系统，以及数字识别系统；然后选择各字符的左扫描线空程长度统计信息作为车牌字符的一组特征，与统计模板进行加权组合，来共同完成车牌字符的识别工作。

Then, from the special character of FA, the paper analyzed the effect of special character on the recognition and measure. The paper also valuably explored the special character and the first recognition and re-recognition of FA, The paper maintained Fair Price Measure Model instead of History Cost Measure Model. In fact, the paper put forward the method and application road of first-recognition and re-recognition to FA for the first time.

然后，从森林资产特殊性的角度出发，分析了整体森林资产的特殊性对确认与计量的影响，对各类森林资产的特殊性及初次确认和再确认问题进行了有益的探索，理论上提出了以&公允价值计量模式&取代&历史成本计量模式&的观点，实践上提出了森林资产初次确认与再确认的方法和实现途径。

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。

But this is impossible, as long as it is engaging in a market economy, there are risks in any operation.

但是，这是不可能的，只要是搞市场经济，是有风险的任何行动。

We're on the same wavelength.

我们是同道中人。