Design of face detection system using evolutionary computation

Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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. Furthermore, in order to reduce the amount of calculation and to discriminate a skin color and the other colors, GA can search to minimize the number of necessary data. Then a storage capacity and the amount of operations can be cut down by using GA and LDNN and SDNN are trained by using the reduced data. 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
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2
Publication statusPublished - 2000
Externally publishedYes
Event2000 TENCON Proceedings - Kuala Lumpur, Malaysia
Duration: 2000 Sep 242000 Sep 27

Other

Other2000 TENCON Proceedings
CityKuala Lumpur, Malaysia
Period00/9/2400/9/27

Fingerprint

Face recognition
Evolutionary algorithms
Skin
Color
Neural networks
Pixels
Computer simulation
Testing

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Mitsukura, Y., Fukumi, M., & Akamatsu, N. (2000). Design of face detection system using evolutionary computation. In IEEE Region 10 Annual International Conference, Proceedings/TENCON (Vol. 2)

Design of face detection system using evolutionary computation. / Mitsukura, Yasue; Fukumi, Minoru; Akamatsu, Norio.

IEEE Region 10 Annual International Conference, Proceedings/TENCON. Vol. 2 2000.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mitsukura, Y, Fukumi, M & Akamatsu, N 2000, Design of face detection system using evolutionary computation. in IEEE Region 10 Annual International Conference, Proceedings/TENCON. vol. 2, 2000 TENCON Proceedings, Kuala Lumpur, Malaysia, 00/9/24.
Mitsukura Y, Fukumi M, Akamatsu N. Design of face detection system using evolutionary computation. In IEEE Region 10 Annual International Conference, Proceedings/TENCON. Vol. 2. 2000
Mitsukura, Yasue ; Fukumi, Minoru ; Akamatsu, Norio. / Design of face detection system using evolutionary computation. IEEE Region 10 Annual International Conference, Proceedings/TENCON. Vol. 2 2000.
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