Face Image Recognition by 2-Dimensional Discrete Walsh Transform and Multi-Layer Neural Network(Source Coding/Imge Processing)(<Special Section>Information Theory and Its Applications)

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概要

• 論文の詳細を見る

• This report describes face image recognition by 2-dimensional discrete Walsh transform and multi-layer neural networks. Neural network (NN) is one of the powerful tools for pattern recognition. In the previous researches of face image recognition by NN, the gray levels on each pixel of the face image have been used for input data to NN. However, because the face image has usually too many pixels, a variety of approaches have been required to reduce the number of the input data. In this research, 2-dimensional discrete Walsh transform is used for reduction of input data and the recognition is done by multi-layer neural networks. Finally, the validity of our method is varified.

• 社団法人電子情報通信学会の論文
• 2003-10-01

著者

• Asai Hideki

  The Department Of Systems Engineering Faculty Of Engineering Shizuoka University

• YOSHIDA Masahiro

  the Department of Cardiovascular Surgery, National Cardiovascular Center

• Yoshida Miki

  Faculty Of Engineering University Of Osaka Prefecture

• Yoshida M

  Keio Univ. Yokohama‐shi Jpn

• KAMIO Takeshi

  the Department of Information, Machines and Interfaces, Hiroshima City University

• Kamio Takeshi

  The Department Of Information Machines And Interfaces Hiroshima City University

• Asai Hideki

  The Department Of Systems Engineering Shizuoka University

• Yoshida Masahiro

  The Department Of Atherosclerosis And Diabetes National Cardiovascular Center

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