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  • 标题:Handwritten Character Recognition Using Machine Learning Model
  • 本地全文:下载
  • 作者:CH.Karthik ; V.Sangeetha ; CH.Satyanarayana
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:8
  • 页码:920-926
  • DOI:10.35629/5252-0308761773
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Handwritten character recognition is a branch of artificial intelligence that includes pattern recognition, computer vision. A computer capable of handwriting recognition can acquire and recognise characters in paper documents, photos, touch-screen devices, and other sources, and transform them into machine-encoded form. Handwriting character recognition has become a major study topic as a result of the rising use of digital technology practically in all day-to-day activities to store and pass information. The purpose of this work is to describe the creation of a handwriting character recognition system that will be used to read students and lectures handwriting notes. Here the system is built on machine learning, when compared to other computing techniques the usage of machine learning for recognizing handwriting characters is more efficient and strong. This paper also discusses „Handwriting Character Recognition‟ methodology, and implementation results of the system development.
  • 关键词:Artificial Intelligence;Pattern recognition;Machine Learning
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