Abstract
In recent years, identification of persons becomes very important for security.
Password has been generally used for this identification, however, persons
sometimes forget their password, and sometimes it is stolen. Therefore a new
technology is required for robust identification. In this paper, we use mosaic face
images to recognize persons by self organizing map (SOM) proposed by Kohonen.
In addition we evaluate the SOM based recognition by using of Euclid distance
and city block distance. The SOM with the Euclid distance succeeded complete
recognition, and the one with the city block distance achieved 96.7% recognition
ratio.
雑誌名
Memoirs of the Faculty of Engineering, Miyazaki University
リポジトリのご案内
自己組織化マップ(SOM)によるモザイク顔画像認識
KJ00002428268.pdf
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