symbol recognition

Study on time series modeling techniques for engineering shape and symbol recognition

工程图形和符号识别中的时序建模技术研究

Statistic and Structure Integrated Approach of Symbol Recognition for Engineering Drawings

统计与结构结合的工程图纸符号识别方法

Research on self-learning mechanism in symbol recognition system of architecture drawings

电阻识别法-光学字符的建筑图符号识别系统中的自学习机制研究

Study on the Implementation of Ground Symbol Recognition in Terrain Maps

地形图中地物图符提取方法的研究与实现

An orthogonal vectorization and symbol recognition method based on the feature segments

基于特征段的正交矢量化及其符号识别方法

Graphic Symbol Recognition based on Modified BP Network

基于改进的BP网的图形符号识别

After decades of development , the research of mathematical formula symbol recognition has made great progress .

经过几十年的发展，.数学公式符号识别研究取得了很大的进步。

Graphic symbol recognition of engineering drawings based on radial basis probabilistic neural networks

基于径向基概率神经网络的工程图纸图形符号识别

Design of Handwritten Electronic Symbol Recognition Based on BP Neural Network graphic-art technique

基于BP神经网络的手绘电路图形符号识别技术

EDITOR 'S NOTES EDITOR FRONT LINE Symbol recognition .

符号识别。

However , conventional point symbol recognition technologies rarely take oriented - point symbol into account .

然而传统的点状符号识别技术很少考虑有向点符号的识别问题。

Adaptive Symbol Recognition for Sketch-Based Interfaces Based on Template Matching and SVM

基于模板匹配和SVM的草图符号自适应识别方法

TV Symbol Recognition Based on Weighted Hu Invariant Moments in HSV Colour Space

基于HSV颜色空间加权Hu不变矩的台标识别

A Highly-Efficient Constraint-Network-Based Approach for Symbol Recognition of Engineering Drawings

一种高效的基于约束网络的工程图符号识别方法

Symbol recognition is divided into the script and printed , the paper focuses on how to recognize printed mathematical expressions symbols .

符号识别又分为手写体和印刷体，本文主要对印刷体数学公式符号进行识别。

The system mainly makes preparations for the next process as the structure analysis , symbol recognition etc , which is a difficult in the whole math formula recognition .

这个系统的主要目的是对数学公式中的字符进行定位，为数学公式识别的后继的结构分析、字符识别等步骤作必要的准备工作，它是整个数学公式识别过程中的一个难点。

To improve the efficiency of symbolic recognition and enhance the robustness of identification methods , a symbol recognition method based on the characteristics of the centroid is presented .

为提高面结构光检测中符号识别效率和增强识别方法的鲁棒性，提出了一种基于形心特征面结构光符号识别方法。

Shape retrieval and symbol recognition play an important role in automatic analysis of documents , including music notations , mathematical expressions , engineering drawings and historical files .

符号识别和形状检索在工程图纸、历史文档、乐谱、数学表达式等的自动分析与识别中发挥着非常重要的作用。

Recognition of Mathematical Expressions consists of symbol recognition and structure analysis . Symbol recognition can be separated into two major stages , namely segmentation and recognition of symbol .

数学表达式的识别由符号识别和结构分析组成，符号识别又分两大阶段，即符号的分割和识别。

In order to extract mathematical expressions ( MEs ) in scanned Chinese document , a ME identification method based on Chinese character recognition and ME symbol recognition is proposed .

为了从中英文混排的中文文档中定位数学公式，提出了一种基于中文字符识别和公式符号识别的数学公式定位方法。

The Support Vector Machines ( SVM ) is a important application of the statistical learning theory . We apply it to the symbol recognition and it express a good performance .

支持向量机作为统计学习理论的重要应用，我们使用它来进行符号识别，这是支持向量机方法的一种新应用，但它还是取得了比较好效果；

The main topic of this article includes the development in the field of Mathematical Expression Recognition and gives the detailed process of Mathematical Expression Recognition and methods of symbol recognition and structure analysis .

本文介绍了目前数学表达式识别的研究现状，给出了数学表达式识别的过程和已提出的符号识别方法和结构分析方法。

Finally , based on structural features , we can extracted handwritten symbol recognition , such as hooks , rings , forks and other defined symbols .

最后再利用基于结构特征提取的方式，获得各种手写符号的识别，比如勾，圈，叉等定义的符号。

In the research on data symbol recognition , we design a two-stage multi-features classifier with threshold , which improves recognition rate , and at same time avoid adding much computing time .

在数据符号识别方面，本文所研究的带阙值的两级多特征分类器的设计思想在提高了字符识别效率的同时，又避免引入过多的系统开销。

Typeset mathematical expression has a number of features which distinguish it from conventional text . Its two-dimension structure implies that automatic mathematical expression recognition includes both symbol recognition and structure analysis .

印刷体数学公式与普通文本相比有许多不同的特点，其二维结构决定了公式识别不仅包含字符识别，更重要的是对其结构的分析。

Syntax method for graphic symbol recognition of construction structure drawings has two main drawbacks : sensitivity to noise and error , and bad generality . In this paper , two improvements are proposed .

建筑结构图CSD的语法识别方法存在对噪声和差错的敏感性强以及通用性较差等局限，本文对此提出了两点改进方法。

Study on Hand-Drawn Electronic Component Symbol ' Recognition Algorithms

手写电气元件符号的识别算法

Research and simulation of symbol image recognition technique have been completed based on several supervised learning of associative neural networks and the treatment showed a good long-term effect .

同时利用有监督的联想型神经网络技术，对符号图像的识别问题进行分析、研究、仿真，总结了流程方法，得到了良好的识别效果。

So calcareous interbeds may become a symbol of recognition and isochronous contrast bed sets , and shale resistivity differences may confirm the stack relation and connectivity of bed sets .

因此，钙质夹层可以作为层组界面识别和对比的标志，利用泥岩电阻率差异可以确定层组的叠置关系，判断储层连通性。

Style is recognition and grasp the difference between different works as well as the symbol of recognition and grasp different schools , it was a different era , the difference between the different national art the sign .

风格是识别和把握不同作品之间的区别的标志，也是识别和把握不同流派，不同时代，不同民族艺术之间的区别的标志。