3D Face Recognition for Unattended Border Control

Biometric data have been integrated in all new European passports, since the member states of the European Commission started to implement the EU Council Regulation No 2252/2004 on standards for security features and biometrics in passports. The additional integration of three-dimensional models promises significant performance enhancements for border controls. By combining the geometryand texture-channel information of the face, 3D face recognition systems provide an improved robustness while processing variations in poses and problematic lighting conditions when taking the photo. To assess the potential of three-dimensional face recognition, the 3D Face project was initiated. This paper outlines the approach and research objectives of this project: Not only shall the recognition performance be increased but also a new, fake resistant acquisition device is to be developed. In addition, methods for protection of the stored template data in the biometric reference are under development.

[1]  E. Delp,et al.  Security, steganography, and watermarking of multimedia contents , 2004 .

[2]  Jean-Paul M. G. Linnartz,et al.  New Shielding Functions to Enhance Privacy and Prevent Misuse of Biometric Templates , 2003, AVBPA.

[3]  Evgeny Verbitskiy,et al.  RELIABLE BIOMETRIC AUTHENTICATION WITH PRIVACY PROTECTION , 2007 .

[4]  Nalini K. Ratha,et al.  Enhancing security and privacy in biometrics-based authentication systems , 2001, IBM Syst. J..

[5]  Anton H. M. Akkermans,et al.  Face biometrics with renewable templates , 2006, Electronic Imaging.

[6]  A. Drinnan,et al.  Request for Information , 1983, Journal of Tropical Ecology.

[7]  Berk Gökberk,et al.  3D shape-based face representation and feature extraction for face recognition , 2006, Image Vis. Comput..

[8]  Raymond N. J. Veldhuis,et al.  Practical Biometric Authentication with Template Protection , 2005, AVBPA.

[9]  Madhu Sudan,et al.  A Fuzzy Vault Scheme , 2006, Des. Codes Cryptogr..

[10]  Anil K. Jain,et al.  Integrating Range and Texture Information for 3D Face Recognition , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

[11]  Joaquim Salvi,et al.  Pattern codification strategies in structured light systems , 2004, Pattern Recognit..

[12]  Arun Ross,et al.  Information fusion in biometrics , 2003, Pattern Recognit. Lett..

[13]  Michael Purser.  Introduction to error-correcting codes , 1994 .

[14]  Anton H. M. Akkermans,et al.  Face recognition with renewable and privacy preserving binary templates , 2005, Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05).

[15]  Berk Gökberk,et al.  "3D Face": Biometric Template Protection for 3D Face Recognition , 2007, ICB.

[16]  Martin Wattenberg,et al.  A fuzzy commitment scheme , 1999, CCS '99.