handwritten character

英 [ˌhændˈrɪtn ˈkærəktə(r)] 美 [ˌhændˈrɪtn ˈkærəktər]

手写字符

计算机



双语例句

  1. Through calculating the connected components of the background area of character image, hole features of a handwritten character image can be extracted.
    提出了基于等价类行程的连通域算法,通过计算字符图像背景区域连通域提取手写字符图像的孔洞特征。
  2. Handwritten character recognition based on improved Hopfield neural network
    基于改进Hopfield神经网络的手写字符识别
  3. In this paper, we discuss a new method to effectively improve offline handwritten character recognition through semantic analysis.
    论文讨论了一种通过自然语言语义层次的理解来协助提高脱机手写体识别率的方法。
  4. A Method for Accessing Handwritten Character Sample Library Based on Bit Map Coding
    基于位映像编码的手写字符样本存取方法
  5. At present, an emphasis of the research is put on unconstrained handwritten character recognition.
    目前,OCR的研究重点是无约束手写体字符识别。
  6. Research on cross feature code extraction of handwritten character
    手写字符的径向贯穿特征码提取的研究
  7. Handwritten Character Recognition& Features Extraction from the Curvatures of Contour Points Based on Wavelet Transform
    手写字符轮廓曲率的特征提取和识别
  8. The Study of Neural Networks Applied to Handwritten Character Recognition
    神经网络在手写体字符识别中的应用研究
  9. A Method for Improving Offline Handwritten Character Recognition Based on Semantic Analysis
    基于语义分析提高脱机手写体识别率的方法
  10. Feedback-Based Algorithm for Handwritten Character Recognition
    基于反馈的手写体字符识别方法的研究
  11. Handwritten Character Recognition Using Principal Component Analysis
    基于主分量分析的手写数字字符识别
  12. Handwritten character recognition based on adaptive resonance theory of artificial neural network
    基于人工神经网络自适应共振理论的手写字符识别
  13. This algorithm can be extended to handwritten character analysis.
    该算法也可用于手写字符的分析。
  14. The paper introduces a handwritten Chinese character radical set which is established oriented for the research on continuous handwritten character sequence recognition.
    本文面向手写字符序列输入信号连续识别研究,分析了汉字及联机手写文本的特点,提出并构建了手写汉字部件集。
  15. Two Optimization Criterions for Neural Networks and Their Applications in Unconstrained Handwritten Character Recognition
    两个神经网络优化准则及其在无限制字符识别中的应用
  16. A new lexicon-driven segmentation and recognition of handwritten character strings for Chinese address reading is proposed.
    本文提出一种字典驱动的地址串切分算法提取信封地址中的汉字地址。
  17. Recognizing small handwritten character set with this new method and constructing an integrated reorganization system with subspace classifier and BP classifier are the main objects in this paper.
    本文研究的目的就是将这一新的识别方法应用于手写字符的小字符集识别,并结合神经网络识别方法构造一个实用的集成识别系统。
  18. Handwritten Character Recognition Using HMM Based on Optimal Discriminant Transformation FIGURE
    基于最佳鉴别变换的HMM手写数字字符识别
  19. An Improved Radial Basis Function Neural Network and Its Application for Handwritten Character Recognition
    改进径向基函数神经网及其在手写体字符识别中的应用
  20. Design of Multiple Features and Multiple Classifiers for Handwritten Character Recognition
    手写体字符识别的多特征多分类器设计
  21. Research on handwritten character recognition
    手写字符识别方法的研究
  22. Owing to hard work of many researchers, the on-line handwritten character recognition and off-line print character recognition have succeeded in our daily life with many practical products.
    经过无数科研工作者的不懈努力,汉字识别中的联机手写体识别和脱机印刷体识别已日趋成熟,出现了很多有实用价值的产品。
  23. Therefore, the research about the technology of handwritten character input and recognition has a profound theoretical significance and broad application prospects. Firstly, it was introduced that the basic principles about the image processing and the feature extraction.
    因此,对于手写字符输入及识别技术的研究有着深刻的理论意义和广阔的应用前景。
  24. The problem of Chinese handwritten character recognition by computer is thought of one of the most difficult problems in the field of pattern recognition.
    手写体汉字计算机识别是模式识别领域最难解决的问题之一。
  25. Handwritten character recognition are widely researched over the years, but also one of the most successful applications in the field of pattern recognition, generally it can be divided into two categories: on-line handwritten character recognition and optical character recognition ( OCR or off-line character recognition).
    手写体字符识别是多年来的研究热点,也是模式识别领域中最成功的应用之一,一般可以分为两类:联机手写字符识别和光学字符识别(OCR或称离线字符识别)。
  26. Handwritten Character Recognition research is a branch of the area of Optical Character Recognition ( OCR), which deals with the recognition of handwritten English character or digits using computer.
    手写字符识别是OCR的一个分支,它的研究对象是:如何利用电子计算机自动辨认手写的英文字符和阿拉伯数字。
  27. Handwritten character recognition as an important application of pattern recognition, in recent years, is very active.
    手写字符识别作为模式识别领域的一个重要应用,在当今社会非常活跃。
  28. The paper in non-contact handwritten character input and recognition to do some research, the experimental results show that the proposed method is reliable and practical, also, obtained high recognition rate.
    论文在非接触手写字符输入和识别方面做了一些探索,实验结果表明,提出的方法稳定可行,并得到了比较高的识别率。
  29. Due to enormous numbers, complex structure of Chinese character and various styles of handwritten character, the recognition of handwritten Chinese character becomes a difficulty in research.
    汉字数目庞大、结构复杂,手写汉字的形状千差万别、风格各异,这使得手写汉字识别成为当前一个研究难点。
  30. In addition, the handwritten character recognition technology is still immature, still is field of pattern recognition of one of the most challenging tasks.
    此外,手写字符的识别技术还未完全成熟,仍然是模式识别领域最具挑战性的课题之一。