University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Face detection based on skin color in image by neural networks

Mohamed, ASS, Weng, Y, Ipson, SS and Jiang, J (2007) Face detection based on skin color in image by neural networks 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007. pp. 779-783.

Full text not available from this repository.


Face detection is one of the challenging problems in the image processing . A novel face detection system is presented in this paper. The approach relies on skin based color , while features extracted from two dimentional Discreate cosine transfer (DCT) and neural networks . which can be used to detect faces by using skin color from DCT coefficient of Cb and Cr feature vectors. This system contains the skin color which is the main feature of faces for detection ,and then the skin face candidate is examined by using the neural networks, which learns from the feature of faces to classify whether the original image includes a face or not. The processing stage is based on normalization and Discreate Cosin transfer (DCT). Finally the classification based on neural networks approch. The expriments results on upright frontal color face images from the internt show an a exellent detection rate. ©2007 IEEE.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Mohamed, ASS
Weng, Y
Ipson, SS
Date : 1 December 2007
DOI : 10.1109/ICIAS.2007.4658492
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:25
Last Modified : 24 Jan 2020 22:12

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800