Browse > Article

A Study on the Performance Evaluation based on Modular Face Recognition System  

Hong Tae-Hwa (Dept. of Electrical Electronic Engineering, Yonsei University)
Moon Hyeon-Joon (School of Computer Engineering Department of Computer Software, Sejong University)
Shin Yong-Nyuo (Korea Information Security Agency)
Lee Dong-Geun (Korea Information Security Agency)
Kim Jae-Sung (Korea Information Security Agency)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.42, no.4, 2005 , pp. 35-44 More about this Journal
Abstract
Face recognition out of biometrics is considerable interesting due to high performance and accessibility in applications to security such as access control and banking service. Therefore, a study on the protocol of the performance test is an important issue to understand the art-of state and to show a direction in future works, in addtion to developing algorithms. We present a design criterion for the performance test protocol of face recognition system and show the result of experiment executed on identification and verification scenario based on PCA algorithm and XM2VTS DB
Keywords
Face Recognition System; Performance test Protocol; PCA; Identification scenario; Verification scenario;
Citations & Related Records
연도 인용수 순위
  • Reference
1 P. J. Phillips, H. Moon, S. Rizvi, and P. Rauss, 'The FERET evaluation methodology for face-recognition algorithms', IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1090-1104, 2000   DOI   ScienceOn
2 H. Moon, 'Biometics Person Authentication using Projection-based Face Recognition System in Verification Scenario', Proceedings of ICBA 2004, pp. 207-213, 2004
3 K. Messer, J, Matas, J, Kittler, J, Luettin, and G. Maitre, 'XM2VTSDB: The Extended MeVTS Database,' Proc. of International Conference on Audio- and Video-Based Person Authentication, pp. 72-77, 1999
4 P. J. Phillips, P. Rauss, and S. Der, 'FERET (face recognition technology) recognition algorithm development and test report', Technical Report ARL-TR-995, U.S. Army Research Laboratory, 1996
5 S. Gutta, J. Huang, D. Singh, I. Shah, B. Takacs, and H. Wechsler, 'Benchmark studies on face recognition', In M. Bichsel, editor, International Workshop on Automatic Face and Gesture Recognition, 1995
6 'Best Practices in Testing and Reporting Performance of Biometric Devices', NPL Report CMSC, version 2.01, 2002
7 'Face Recognition Vendor Test 2002', Evaluation Reports, 2003
8 I. T. Jolliffe, Principal Component Analysis, Springer-Verlag, 1986
9 H. Moon and J. Kim, 'Biometrics identification and verification using projection-based face recognition system', Proceedings of WISA 2003, pp. 380-394, 2003
10 H. Moon and P, J. Phillips, 'Computational and performance aspects of projection-based face recognition algorithms', Perception, vol. 30, pp. 303-321, 2001   DOI   ScienceOn
11 H. Moon, 'Performance Evaluation Methodology for Face Recognition Algorithms', Ph.D thesis, Dept. of Computer Science and Engineering, SUNY Buffalo, 1999
12 Belhumeur P. N., Hespanha J. P., Kriegmaqn D. J., 'Eigenfaces vs. Fisherfaces : recognition using class specific Linear Projection,' IEEE Trans. on Pattern Analysis and Machine Intell., Vol.19, No.7, pp.711-720, 1997   DOI   ScienceOn
13 M. Turk and A. Pentland, 'Eigenfaces for recognition', J. Cognitive Neuroscience, vol. 3, pp. 71-86, 1991   DOI   ScienceOn