Face Detetion and Emotional Extraction System Using Double Structure Neural Network

Hironori Takimoto, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

Research output: Contribution to conferencePaperpeer-review

8 Citations (Scopus)


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.

Original languageEnglish
Number of pages5
Publication statusPublished - 2003 Sept 24
Externally publishedYes
EventInternational Joint Conference on Neural Networks 2003 - Portland, OR, United States
Duration: 2003 Jul 202003 Jul 24


OtherInternational Joint Conference on Neural Networks 2003
Country/TerritoryUnited States
CityPortland, OR

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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