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字符提取     
相关语句
  character extraction
     System of Character Extraction and Recognition in Engineering Drawings
     工程图纸上的字符提取和识别系统
短句来源
     BEER BOTTLE RAISED CHARACTER EXTRACTION AND RECOGNITION METHOD BASED ON ACTIVE CONTOUR MODEL
     基于主动轮廓模型的啤酒瓶凸性字符提取和识别方法
短句来源
     Car license plate recognition is the important component of intelligent transportation system,the segmentation and location of car plate image and character extraction is the key procedure of this recognition system,the location and extraction effect immediately decide the efficiency of recognition system.
     车辆牌照识别是智能交通系统的重要组成部分,而车牌图像的分割定位与字符提取是车牌识别系统的关键步骤,定位提取效果直接决定了车牌识别系统的工作效率。
短句来源
     First, at the stage of character extraction, two approaches of character extraction and complementary Ostu method are proposed.
     在字符提取阶段,给出了两种字符的提取方法以及互补Ostu二值化方法。
短句来源
     RESEARCH ON VEHICLE LICENSE PLATE CHARACTER EXTRACTION FROM COMPLEX BACKGROUND
     复杂背景下的车辆牌照字符提取方法研究
短句来源
更多       
  character segmentation
     Finally, with the help of the methods and algorithms proposed in this dissertation, and with the exploitation of our latest research in areas like character segmentation, feature extraction and classification, an automatic transcript recognition system is developed, with an average recognition rate of 90.89%.
     最后,我们利用本文提出的表格文档预处理及字符提取算法,并结合我们对字符分割、特征提取以及分类器设计等问题的最新研究,研制开发了Windows平台上适用的《成绩单自动识别系统》,其总体识别率平均达到了90.89%。
短句来源
  character extracting
     A preprocessing method is presented to solve this problem. Using template matching for character recognition and designing the algorithm of character extracting can avoid isolating the characters and enhance the correctness of character extracting.
     即采用模板匹配完成字符识别 ,设计字符提取算法 ,使字符提取和识别同时进行 ,避免了字符的单独分割。
短句来源
  text extraction
     Text Extraction in Complex Color Image
     基于连接体搜索和多纹理特征融合的字符提取
     In this paper, a text extraction method for the complex color image is proposed.
     本文提出了一种面向复杂彩色图像的基于连接体搜索和多纹理特征融合的字符提取方法。

 

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      character extraction
    This paper discusses methods for character extraction on the basis of statistical and structural features of gray-level images, and proposes a dynamic local contrast threshold method accommodating to line width.
          
    To solve two problems of character recognition for videos, low-resolution characters and extremely complex backgrounds, we apply an interpolation filter, multi-frame integration and character extraction filters.
          
    Binarization, character extraction, and writer identification of historical Hebrew calligraphy documents
          
    Plate localization and character extraction Three samples are used as references to assign the value and method in the research.
          
    There are a number of areas where we can improve our character extraction algorithms.
          
    更多          
      character segmentation
    The algorithm consists of an initial character segmentation algorithm and a connected-numeral splitting algorithm.
          
    The initial character segmentation algorithm employs connected component analysis with component merge technique based on proximity.
          
    The localization stage of the CLPR yields a plate clip followed by character segmentation and recognition.
          
    Character segmentation is performed by a recognition-based segmentation method, and intermediate character recognition results are used to improve the segmentation.
          
    In the proposed system, the document image is first captured using a flat-bed scanner and then passed through different preprocessing modules like skew correction, line segmentation, zone detection, word and character segmentation etc.
          
    更多          
      其他


    The extraction and recognition of dimension symbols in scanned engineering drawing images is a difficult task in the field of pattern recognition. A method for the extraction and recognition of handwritten characteris in scanned engineering drawing images is proposed. Some simple and easily constructed structural features of characters have been used. This method has been applied in the software GIRS 5. 0 for intelligent recognition after an engineering drawing is scanned. The rates of extraction and recognition...

    The extraction and recognition of dimension symbols in scanned engineering drawing images is a difficult task in the field of pattern recognition. A method for the extraction and recognition of handwritten characteris in scanned engineering drawing images is proposed. Some simple and easily constructed structural features of characters have been used. This method has been applied in the software GIRS 5. 0 for intelligent recognition after an engineering drawing is scanned. The rates of extraction and recognition have exceeded 92%.

    给出了一种提取与识别工程图形扫描图像中的尺寸字符的方法,提出了几种简便、易于抽取的字符结构特征,能有效地识别工程图形扫描图像中的手写字符.该方法已成功地应用到工程图形扫描输入后的智能识别软件CIRS5.0中,字符提取及识别率达到92%以上.

    A new technique for extracting character strings in engineering drawings based on raster line recognition is put forward. The connected regions in an image are acquired using the growth Al- gorithm of the connected segment through the run-length coding. An integral line recognizing algo- rithm based on connected segments matching is given to extract lines of arbitrary orientation. The ad- hered character strings are acquired through a search for the profile of lines. A character spatial syn- thesis algorithm...

    A new technique for extracting character strings in engineering drawings based on raster line recognition is put forward. The connected regions in an image are acquired using the growth Al- gorithm of the connected segment through the run-length coding. An integral line recognizing algo- rithm based on connected segments matching is given to extract lines of arbitrary orientation. The ad- hered character strings are acquired through a search for the profile of lines. A character spatial syn- thesis algorithm is used to merge the split regions into characters and to group the dispersive charac- ters into definite strings . The mutually adhered characters are segmented into single ones to be sent to perform the recognition.

    针对工程图中的字符特别是粘连字符的提取与分割这一工程图识别与理解中的难点,提出并实现了一种新的基于光栅直线识别的字符串整体提取算法,能比较准确地提取图纸中的粘连字符串,并对提取后的字符串进行空间位置分解组合,从而确定字符串的分组与方向,实现较高层次上的图文分割。

    A method based on connected area detection is developed to segment and recognize dimension texts in engineering drawings. The paper first builds a hierarchical representation of drawing image based on connected area and sub connected area. Then it uses size criteria to find out character candidates from all connected areas and uses collinear criteria to group separate character candidates into text strings. Finally,it analyzes text strings according to text patterns summarized from dimension texts and gives...

    A method based on connected area detection is developed to segment and recognize dimension texts in engineering drawings. The paper first builds a hierarchical representation of drawing image based on connected area and sub connected area. Then it uses size criteria to find out character candidates from all connected areas and uses collinear criteria to group separate character candidates into text strings. Finally,it analyzes text strings according to text patterns summarized from dimension texts and gives out the recognition result.

    本文介绍了一种基于连通域检测的工程图标注字符的提取与识别方法.首先建立一种基于连通域和子连通域的工程图的层次表示,然后利用大小判据从连通域中找出字符候选,再利用共线判据提取出标注字符串,最后在预先总结出来的字符串模板的指导下,对提取出的字符串进行分析和识别.

     
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