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识别阶段 meaning in Chinese

identification stage

Examples

  1. Finally targets are identified by hybrid model
    识别阶段,通过解码判断振动目标的类别。
  2. In the process of classification , use minimum distance classifier to obtain recognition results
    识别阶段本文使用了最小距离分类器对待识别人脸进行了分类。
  3. 5 . at the stage of recognition of license plate character , in order to improve the accuracy of recognition , a new way is invented for it
    5在车牌字符识别阶段,为提高车牌字符识别率,设i十了一种新的车牌字简识别方法。
  4. In the stage of recognition , we utilize the model - based recognition tactics . we utilize hash table to build model - based database and give the algorithm of building and searching model - based database
    识别阶段,采用了基于模型的识别方法,利用哈希表的方法建立了模型库,给出了模型数据库建立算法和对模型库进行搜索的算法。
  5. With the development of communication , information and electronic technology and computer network , intelligent transport system ( its ) is paid more and more emphasis , it contains many parts , such as vehicle type recognition and license plate recognition . in this paper , we introduce svm to the field of its , the main work is described as follows : ( 1 ) we summarize the latest research achievements and development of its , present the conceptions of slt and the principles of svm ; ( 2 ) taking the traffic sign as examples and adopting hough transform in the stage of feature extraction , we introduce svm to the problem of shape recognition and compare the experimental results with traditional learning methods . ( 3 ) then we use svm to settle the vehicle type recognition problem , where we utilize the wavelet analysis and mathematical morphology method to extract the figure feature
    本文将支持向量机引入智能交通系统领域,主要进行的工作如下: ( 1 )整理总结了国内外学术界关于统计学习理论方面的研究成果,介绍统计学习理论的基本概念和支持向量机的基本原理; ( 2 )在形状识别问题中以交通标志图像作为实验对象,利用hough变换进行特征提取,在识别阶段利用支持向量机方法进行分类,并与神经网络等传统学习方法对比; ( 3 )将支持向量机应用于车型识别问题中,针对收费站采集的汽车图像,首先采用小波分析和数学形态学的方法提取其外形特征,在识别阶段利用支持向量机方法进行分类,并与其他传统学习方法进行了对比; ( 4 )将支持向量机应用于车牌识别问题中,车牌识别包括车牌定位、车牌字符分割以及字符识别三个步骤,先采用数学形态学方法对车牌区域进行定位,然后采用top - hat变换等方法分割车牌字符,在识别阶段采用支持向量机算法进行字符识别,取得了较为满意的结果。
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Related Words

  1. 冬孢子阶段
  2. 形象识别
  3. 识别种
  4. 模式识别
  5. 网络识别
  6. 识别密码
  7. 分子识别
  8. 识别灯标
  9. 限制性识别
  10. 接续识别
  11. 识别检验
  12. 识别建立方案
  13. 识别结果和过程量测指标间的关联
  14. 识别解码
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