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文章基本信息

  • 标题:A Comparative Study of Emotion Recognition from Facial Expression
  • 本地全文:下载
  • 作者:Prof.Atul Pawar ; Kajal Kamble ; Shalaka Dhaktode
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:2
  • DOI:10.15680/ijircce.2015.0302005
  • 出版社:S&S Publications
  • 摘要:In Image processing, it becomes very interesting to recognize the human gesture for general life. Facialexpressions analysis plays a significant role for human computer interaction. In this paper both genetic and data miningalgorithm is given. In data mining algorithm the focus is given on facial expression regions such as eyebrow, eye andmouth. Then facial characteristics points are calculated which are given as a input to decision tree which gives outputas emotion. In genetic algorithm, preprocessing is applied on input image. Features are extracted and optimized valuesare calculated. Thus emotions are classified using neural networks.
  • 关键词:preprocessing; feature extraction; genetic algorithm; neural network algorithm; template matching;classification; data mining algorithm
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