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文章基本信息

  • 标题:Image Recognition With the Help of Auto-Associative Neural Network
  • 本地全文:下载
  • 作者:Miss Moumi Pandit ; Dr. Mousumi Gupta
  • 期刊名称:International Journal of Computer Science and Security (IJCSS)
  • 电子版ISSN:1985-1553
  • 出版年度:2011
  • 卷号:5
  • 期号:1
  • 页码:54-63
  • 出版社:Computer Science Journals
  • 摘要:This paper proposes a Neural Network model that has been utilized for image recognition. The main issue of Neural Network model here is to train the system for image recognition. In this paper the NN model has been prepared in MATLAB platform. The NN model uses Auto-Associative memory for training. The model reads the image in the form of a matrix, evaluates the weight matrix associated with the image. After training process is done, whenever the image is provided to the system the model recognizes it appropriately. The weight matrix evaluated here is used for image pattern matching. It is noticed that the model developed is accurate enough to recognize the image even if the image is distorted or some portion/ data is missing from the image. This model eliminates the long time consuming process of image recognition
  • 关键词:Image Recognition; Associative Memory; Pattern Matching; Artificial Neural Network; Weight Matrix
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