CONF marcel:2002:cost/IDIAP A State-of-the-art Neural Network for Robust Face Verification Marcel, Sébastien Marcel, Christine Bengio, Samy EXTERNAL https://publications.idiap.ch/attachments/reports/2002/marcel_2002_cost.pdf PUBLIC https://publications.idiap.ch/index.php/publications/showcite/marcel02-36irr Related documents Proceedings of the COST275 Workshop on The Advent of Biometrics on the Internet 2002 Rome, Italy REPORT Marcel02-36IRR/IDIAP A State-of-the-art Neural Network for Robust Face Verification Marcel, Sébastien Marcel, Christine Bengio, Samy EXTERNAL https://publications.idiap.ch/attachments/reports/2002/rr02-36.pdf PUBLIC Idiap-RR-36-2002 2002 IDIAP Published in the Proceedings of the COST275 Workshop on The Advent of Biometrics on the Internet, Rome, Italy, 7-8 November, 2002 The performance of face verification systems has steadily improved over the last few years, mainly focusing on models rather than on feature processing. State-of-the-art methods often use the gray-scale face image as input. In this paper, we propose to use an additional feature to the face image: the skin color. The new feature set is tested on a benchmark database, namely XM2VTS, using a simple discriminant artificial neural network. Results show that the skin color information improves the performance and that the proposed model achieves robust state-of-the-art results.