Design of face detection system by using lip detection neural network and skin distinction neural network

Y. Mitsukura, M. Fukumi, N. Akamatsu

研究成果: Conference article

7 引用 (Scopus)

抜粋

In this paper, we propose a new method to examine whether or not human faces are included in color images by using a lip detection neural network (LDNN) and a skin distinction neural network (SDNN). In conventional methods, if there are the same color as the skin color in scenes, the domain which is accepted as not only the skin color but any other color can be searched. However, first, the lip are detected by LDNN in the proposed method. Next, SDNN is utilized to distinguish the skin color from the others. The proposed method can obtain relatively high recognition accuracy, since it have the double recognition structure of LDNN and SDNN. Finally, in order to demonstrate the effectiveness of the proposed scheme, computer simulations were performed. First, 100 lip color, 100 skin color and 100 background pictures, which are changed into 10×10 pixels, are prepared for training. The validity was verified by testing images containing several faces.

元の言語English
ページ(範囲)2789-2793
ページ数5
ジャーナルProceedings of the IEEE International Conference on Systems, Man and Cybernetics
4
出版物ステータスPublished - 2000 12 1
外部発表Yes
イベント2000 IEEE International Conference on Systems, Man and Cybernetics - Nashville, TN, USA
継続期間: 2000 10 82000 10 11

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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