Technology evaluations on the TH-FACE recognition system

Authors:
Congcong Li;Guangda Su;Kai Meng;Jun Zhou
Affiliations:
The State Key Laboratory of Intelligent Technology and System, Electronic Engineering Department, Tsinghua University, Beijing, China;The State Key Laboratory of Intelligent Technology and System, Electronic Engineering Department, Tsinghua University, Beijing, China;The State Key Laboratory of Intelligent Technology and System, Electronic Engineering Department, Tsinghua University, Beijing, China;The State Key Laboratory of Intelligent Technology and System, Electronic Engineering Department, Tsinghua University, Beijing, China
Venue:
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Year:
2006

Citing 7
Cited 2

An Introduction to Evaluating Biometric Systems

Computer
An Introduction to Evaluating Biometric Systems

Computer
The FERET Evaluation Methodology for Face-Recognition Algorithms

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Eyeglasses removal from facial images

Pattern Recognition Letters
Face recognition vendor test 2002 performance metrics

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A fast method of lighting estimate using multi-linear algebra

SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Baseline evaluations on the CAS-PEAL-R1 face database

SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication

Face recognition based on pose-variant image synthesis and multi-level multi-feature fusion

AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Frontal face synthesis based on multiple pose-variant images for face recognition

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics

Quantified Score

Hi-index	0.00

Visualization

Abstract

For biometric person authentication, evaluations on a biometric system are very essential parts of the entire process. This paper presents the technology evaluations on the TH-FACE recognition system. The main objectives of the evaluations are to 1) test the performance of the TH-FACE recognition system objectively; 2) provide a method to design and organize a database for evaluations; 3) identify the advantage and weakness for the TH-FACE recognition system. Particular description of the test database used in the evaluations is given in this paper. The database contains different subsets which are sorted by different poses, illuminations, ages, accessory, etc. Results and analysis on the entire performances of the TH-FACE recognition system would be also presented.