CONF marcel:2002:icpr/IDIAP Improving Face Verification using Skin Color Information Marcel, Sébastien Bengio, Samy EXTERNAL https://publications.idiap.ch/attachments/reports/2002/marcel_2002_icpr.pdf PUBLIC https://publications.idiap.ch/index.php/publications/showcite/marcel01-44irr Related documents Proceedings of the 16th International Conference on Pattern Recognition 2002 IEEE Computer Society Press REPORT Marcel01-44IRR/IDIAP Improving Face Verification using Skin Color Information Marcel, Sébastien Bengio, Samy EXTERNAL https://publications.idiap.ch/attachments/reports/2001/rr01-44.pdf PUBLIC Idiap-RR-44-2001 2001 IDIAP Published in the Proceedings of the International {C}onference on {P}attern {R}ecognition, Quebec City, Canada, 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 significantly the performance.