12 Research on performance examination of individual attestation system using face image 1010429 2001 2 5
1997 FaceIt The age using various biometrics for the attestation with the computer to attest the individual has come. The face has become practicable since the first half of 1997. The attestation of the face image obtains the attestation accuracy equal the fingerprint attestation. In this paper we discuss the attestation accuracy of the FaceIt system, which is a the parameters of taking picture angle, which is a confirmation of the basic performance. We show the experimental results of this system according to variety of angle on the taking picture. FaceIt TrueFace - i -
1 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3 2.10 2.11 2.12 2.13 3 3.1 FaceIt 3.1.1 3.1.2 LFA 3.1.3 3.1.4 3.2 FaceIt 3.3 FaceIt 3.4 FaceIt PC 3.5 TrueFace 3.5.1 3.5.2 3.6 TrueFace 3.6.1 TrueFace Engine SDK 3.6.2 TrueFace Network 3.6.3 TrueFace Web 4 4.1 FaceIt 4.2 TrueFace - ii -
5 5.1 FaceIt PC 5.2 5.3 5.4 6 7 8 - iii -
1 1997 NHK KTT KDD FaceIt FaceIt FaceIt ATM Automatic Teller Machine TrueFace FaceIt FaceIt - 1 -
TrueFace TrueFace FaceIt PC 3 FaceIt FaceIt 3 5 0 5 3 30 FaceIt PC FaceIt PC - 2 -
2 1970 (1) 1980 2.1 2 2.1-3 -
2.1 2.2 2.3 (2) - 4 -
3 RGB 3 2 (3) 2.4 (4) - 5 -
2.5 [5] 2.6-6 -
6 2.2 2.2-7 -
2.7 2.3 (6) 3 2.3 2.8 (7) - 8 -
(8) 2.9 3 3 3 2 1 3 1 2 3 2 (9) 2 (10) 2.10 (11) - 9 -
2.11 1 1 (12) 2.12 2.13-10 -
(13) 2.1 2.1 2.4 2.4-11 -
2.4 2.4-12 -
3 2 FaceIt TrueFace 3.1 FaceIt FaceIt FaceIt 6 Face Detection ) Segmentation( ) Tracking( ) Faceprint Coding( ) Verification( ) Identification( ) 6 FID Faceprint ID 3.1.1 Faceprints Faceprints 2 Enginfaces(Sirovvich Pentland ) Local Feature Analysis ( LFA ) Enginfaces 3.1.2 LFA(Local Feature Analysis) LFA (Nodal Points) - 13 -
Enginfaces 3.1 3.2 3.1 1 3.2 2 faceprint - 14 -
3.1.3 Pentium500Mhz 1500 1 4 6000 1 1 1 Faceprint 84 3.1.4 False Accept Rate False Reject Rate Equal Error Rate FAR = FRR FaceIt AFIS 3.3 FERET FacE Recognition Technology U.S. Army Research Laboratory 3.3 Performance on FERET Database FERET 3.4-15 -
3.4 FaceIt DB Evaluation Software FAR FRR 3.2 FaceIt FaceIt FaceIt head detection LFA Faceprint FaceIt - 16 -
FaceIt LFA LFA an irreducible set of building elements a representative ensemble of faces 12 40 FaceIt 3.3 FaceIt FaceIt Windows95/98/NT Unix Linux 1 Informix Datablade 50 300 1 1 1 1 1500 6000 Faceprint 84 3.5 w authentication 84 45 15 15 35 35-17 -
8 image depth 320 240 20 30 1 80 120 FaceIt 1 2 FaceIt 3.4 FaceItPC FaceItPC Windows95 98 5 Microsoft Win95(98) 90MHz Intel Pentium Compatible or higher 16MB RAM 10MB free hard disk space VGA or higher video display adapter VFW(Video For Windows) USB FaceIt 3.5 3.6-18 -
3.5 3.6 FaceIt FaceIt FaceIt D.E.S Windows95 NT 3.7 3.10 3.7 FaceIt 3.8-19 -
3.9 3.10 FaceIt JPEG ETP FaceIt FaceIt AVI Microsoft Mail Qualcom Eudora3.0 Microsoft MAPI - 20 -
3.5 True Face True Face 3.5.1 True Face. kb 2 1 2 ICSA International Computer Security Association 3.11 3.5.2 3.11 True Face 1 1 1 n 1 1 ID Ameritech Security Link - 21 -
ATM CCM Web 1 n ID 1 1 3.5 TrueFace TrueFace 3.5.1 TrueFace Engine SDK C OS Windows95/98/NT SUN Solaris Microsoft Visual C/C++ Visual Basic 3.5.2 TrueFace Network CPU Pentium OS WindowsNT Server V4.x Microsoft SQL Server6.5 CPU Pentium OS WindowsNT Workstation V4.x Video for Windows API CPU Pentium OS WindowsNT Workstation V4.x Windows95/98 Video for Windows 3.5.3 TrueFace Web Web - 22 -
Web TrueFace Web TrueFace Active-X TrueFace Web Web CPU Pentium OS WindowsNT Server V4.x Microsoft Internet Information Server3.0 CPU Pentium OS Windows95/98/NT4.x Microsoft Internet Explorer3.1 Netscape Navigator4.04 Video for Windows - 23 -
4 4.1 FaceIt FaceIt ATM OK ID ATM FaceIt 500 3500 640000 150 Point of Sale 4.1 4.1 FaceIt - 24 -
4.2 4.3 4.2 1 4.3 2 FaceIt Surveillance FaceIt Database - 25 -
US SENTRI FaceIt FaceIt FaceIt FaceIt FaceIt NewHam 34 72 33 56 26 US Department of Defense US Drug Enforcement Agency US Customs - 26 -
4.2 TrueFace TrueFace TrueFace ATM 300 ATM 24 Pentium PC JPEG 4.4 4.4 Frequent flyer 4.5 TrueFace 2 FaceIt 1500 3 SIND Tonali - 27 -
4.5-28 -
5 FaceIt FaceIt PC 2 2 FaceIt PC 5.1 FaceIt PC FaceIt PC 5.1 5.1 FaceIt FaceIt FaceIt 3 5.2 FaceIt 3 ID [skip] 5.3 FaceIt 3-29 -
5.2 5.3 FaceIt 5.4 5.4 FaceIt FaceIt 5.5 [start] FaceIt - 30 -
5.5 5.6 5.6 8 12 5 [Finish] 5.7-31 -
5.7 5.7 5.8 5.8-32 -
5.2 FaceIt PC 5.9 5.9 3 30 3 5 5.10 5.10 5.11 4 5.12 1-33 -
5.11 5.12 5.3 0 5.13 5 5 5 30 3 5.1 5.13 10 15 5 10 10-34 -
5.1 5.4 3 10 15 35-35 -
- 36 -
6 1 1 FaceIt PC 100 15 TrueFace ATM FaceIt TrueFace - 37 -
7-38 -
8 (1) Vol.25 No.8 pp.707-713 (1986) (2) J-C. Terrillon, M.David and S. Akamatsu Automatic detection of human face in natural scene images by use of a skin color model and of invariant moments; Proc. of FG 98, pp. 112-117 (1998) (3) T. Kurata, D.D. Chang, and S. Hashimoto Multimedia sensing system for robot; Proc. of ROMAN 95, pp. 164-169 (1995) (4) T. Yokoyama, Y. Yagi and M. Yachida Facial contour extraction model; Proc. of FG 98, pp.254-259 (1998) (5),,, KL ; (D- ), Vol. J76-D-, No.7, pp. 1363-1373 (1993) (6) J. Heinzmann and A. Zelinsky 3D facial pos and gaze point estimation using a robust real-time tracking paradigm; Proc. of FG 98, pp.142-147 (1998) (7) R. Cipolla and A. Pentland, eds. Computer Vision for Human-Machine Interaction, Cambridge Univ. Press (1998) (8),,, Vol.119-D, No.1, pp.21-29 (1999) (9), (1990) (10), ;, PRMU99-55 (1999-11) (11) H.Wu, Q. Chien and M. Uachida Face detection from color images using fuzzy pattern matching method; IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 10, No. 6 (1999) (12), ;, Vol. J81-D-, No. 5, pp. 810-921 (1998) (13),, ;, Vol. 28, No. 5, pp. 596-604 (1999) - 39 -