首页    期刊浏览 2025年02月22日 星期六
登录注册

文章基本信息

  • 标题:Handwritten Text Extraction Using HOG Feature and SVM
  • 本地全文:下载
  • 作者:Femin P D ; Krishnapriya K S ; Dr. Vince Paul
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:4
  • 页码:7127
  • DOI:10.15680/IJIRSET.2017.0604243
  • 出版社:S&S Publications
  • 摘要:Handwritten Text Extraction (HTE) is an emerging technology in image processing. HTE is the wondersof empowering a machine to automatically realize the characters written in a user dialect. Optical character extractionhas turned out to be a standout amongst the best candidates of innovation in the field of pattern recognition andartificial intelligence. In this paper we propose a methodology for extracting and recognizing characters or text usingHistogram of Gradient (HOG) feature extraction and Support Vector Machines (SVM) as classifier. To evaluate theaccuracy of our proposed method we use the ground truth data.
  • 关键词:Handwritten Text Extraction; Histogram of Gradient; Support Vector Machines.
国家哲学社会科学文献中心版权所有