REPORT Marcel02-49IRR/IDIAP Robust Face Verification using Skin Color and Neural Networks Marcel, Sébastien EXTERNAL http://publications.idiap.ch/attachments/reports/2002/rr02-49.pdf PUBLIC Idiap-RR-49-2002 2002 IDIAP The performance of face verification systems has steadily improved over the last few years. State-of-the-art methods often use the gray-scale face image as input. In this paper, we use an additional feature to the face image: the skin color. The feature set is tested on a benchmark database, namely XM2VTS, using a simple discriminant artificial neural network. Results show that the proposed model achieves robust state-of-the-art results.