Fusion of Talking Face Biometric Modalities for Personal Identity Verification

Author

Sanchez, Ulises Ramos ; Kittler, Josef

Author_Institution

Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford

Volume

5

fYear

2006

fDate

14-19 May 2006

Abstract

We describe a personal identity verification system based on lip dynamics biometric. The lip shape is represented in terms of a B-spline model, tracked over time. The coordinates of the 11 control points of the B-spline model are used as features for each frame. An utterance consisting of N frames produces a sequence of 22 dimensional feature vectors that is matched to the template using dynamic time warping. The verification error rate achieved by the systems on the XM2VTS database is about 14%. By fusing the system with face and voice biometrics the error rate is reduced to a fraction of one percent

Keywords

error statistics; face recognition; image representation; B-spline model; XM2VTS database; dynamic time warping; feature vectors; lip dynamics biometric; lip shape; personal identity verification system; talking face biometric modalities fusion; verification error rate; voice biometrics; Biometrics; Error analysis; Face detection; Image databases; Protocols; Shape control; Spatial databases; Speech; Spline; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1661465

Filename

1661465