Face authentication using the trace transform

Authors:
Sanan Srisuk;Maria Petrou;Werasak Kurutach;Alexander Kadyrov
Affiliations:
Mahanakom University of Technology, Bangkok, Thailand and University of Surrey, Guildford, United Kingdom;Informatics and Telematics Institute, CERTH, Thermi, Greece and University of Surrey, Guildford, United Kingdom;Mahanakom University of Technology, Bangkok, Thailand;University of Surrey, Guildford, United Kingdom
Venue:
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Year:
2003

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Abstract

We introduce a new face representation, the shape Trace transform (STT), for recognizing faces in an authentication system. The STT offers an alternative representation for faces that has a very high discriminatory power. We estimate the dissimilarity between two shapes by a new measure we propose, the Hausdorff context. The reinforcement learning is used to search the optimal parameters of the algorithm, for which the within-class variance of the STT is minimized. This research demonstrates that the proposed method provides a new way for face representation. Our system is verified with experiments on the XM2VTS database.