@article{oai:miyazaki-u.repo.nii.ac.jp:00002372,
 author = {山森, 一人 and Yamamori, Kunihito and 平山, 政宏 and 吉原, 郁夫 and Yoshihara, Ikuo and Hirayama, Masahiro},
 journal = {宮崎大学工学部紀要, Memoirs of Faculty of Engineering, University of Miyazaki},
 month = {Oct},
 note = {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.},
 pages = {349--354},
 title = {自己組織化マップ(SOM)によるモザイク顔画像認識},
 volume = {33},
 year = {2004},
 yomi = {ヤマモリ, クニヒト and ヒラヤマ, マサヒロ and ヨシハラ, イクオ}
}