Human vs. automatic measurement of biometric sample quality

Canadian Conference on Electrical and Computer Engineering

Volumn , Issue , 2006, Pages 2090-2093

  Adler, Andy ^a   Dembinsky, Tatyana ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Automatic measurement; Biometric sample quality; Face recognition; Human assessment; Iris recognition

Indexed keywords

ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS; FACE RECOGNITION; IMAGE QUALITY; PHYSIOLOGICAL MODELS;

AUTOMATIC MEASUREMENT; BIOMETRIC SAMPLE QUALITY; IRIS RECOGNITION;

BIOMETRICS;

EID: 39049139491     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2006.277715     Document Type: Conference Paper

References (7)

1. J.G. Daugman, "How iris recognition works", IEEE Trans. Circuits Syst. Video Technol., vol.14, no.1, pp.21-30, 2004.
2. InterNational Committee for Information Technology Standards, "Biometrie Sample Quality Standard Draft (Revision 4)", document number M1/06-0003, February 7, 2005.
3. The MITRE Corporation, Image Quality Measure (IQM)© Software, http://www.mitre.org/tech/mtf/.
4. L.Masek, "Recognition of Human Iris Patterns for Biometrie Identification", BE Dissertation, The University of Western Australia, 2003, www.csse.uwa.edu.au/~pk/studentprojects/libor/index.htm
5. NIST, NISTSpecial Database 18: Mugshot Identification Database (MID), http://www.nist.gov/srd/nistsd18.htm.
6. E.Tabassi, C.L. Wilson, C.I. Watson, Fingerprint Image Quality, NISTIR 7151, NIST, August 2004.
7. J.L. Wayman, "A Definition of Biometrics", 2001, http://www.engr.sjsu.edu/biometrics/nbtccw.pdf.