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  • 标题:A Study on Various Techniques Involved in Gender Prediction System: A Comprehensive Review
  • 本地全文:下载
  • 作者:Payal Maken ; Abhishek Gupta ; Manoj Kumar Gupta
  • 期刊名称:Cybernetics and Information Technologies
  • 印刷版ISSN:1311-9702
  • 电子版ISSN:1314-4081
  • 出版年度:2019
  • 卷号:19
  • 期号:2
  • 页码:51-73
  • DOI:10.2478/cait-2019-0015
  • 出版社:Bulgarian Academy of Science
  • 摘要:Predicting gender on the foundation of handwriting investigation is a very invoking research area. Handwriting analysis also has numerous applications. It is useful for forensic experts to investigate classes of writers. This prediction is executed fundamentally by two steps: feature extraction and classification. As a whole, prediction solely depends upon the feature extraction. Distinct and most varied features make the classification accurate. This paper describes the problem comprehensively along with its foundation. It presents a survey of the available methods to solve the discussed problem. A comparative analysis of the discussed methods of feature extraction and classification along with the available databases is also presented in this paper.
  • 关键词:Handwriting recognition; gender; extraction; features; forensics.
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