Computer-vision-based approach to personal identification using finger crease pattern

Pattern Recognition

Volumn 31, Issue 1, 1998, Pages 15-22

  Joshi, Dilip G ^a   Rao, Yelluru Vasudeva ^a   Kar, Soumitra ^a   Kumar, Valli R ^a   Kumar, Ranajit ^a  

^a BHABHA ATOMIC RESEARCH CENTRE   (India)

Author keywords

Biometrics; Computer vision; False acceptance rejection rate; Finger crease pattern; Image analysis; Personal identification

Indexed keywords

CAMERAS; IMAGE ANALYSIS; IMAGE PROCESSING; LIGHTING; PATTERN RECOGNITION;

BIOMETRICS; FALSE ACCEPTANCE; FINGER CREASE PATTERN; PERSONAL IDENTIFICATION; REJECTION RATE;

COMPUTER VISION;

EID: 0031636173     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(97)00034-4     Document Type: Article

References (9)

1. Benjamin Miller, Vital signs of identity, IEEE Spectrum 31, 22-30 (February 1994).
2. Bill Zalud, Biometrics brings human sense to electronic access control, Security 26, 62-68 (January 1989).
3. Michael Thompson, The newest wave: Biometric security, Security World 22, 39-43 (February 1985).
4. Osamu Nakamura, Shailendra Mathur and Toshi Minami, Identification of human faces based on isodensity maps, Pattern Recognition 24(3), 263-272 (1991).
5. Chyuan Jy Wu and Jun S. Huang, Human face profile recognition by computer, Pattern Recognition 23(3/4), 255-259 (1990).
6. Edmund X. Dejesus, Face value, Byte 20, 85-90 (February 1995).
7. K. S. Fu, R. C. Gonzalez and C. S. G. Lee, Robotics: Control, Sensing, Vision, and Intelligence, pp. 426-427. McGraw-Hill, New York (1987).
8. Murray R. Spiegel, Theory and Problems of Probability and Statistics, Schaum's Outline Series. McGraw-Hill, New York (1988).
9. Peter Gemnar, Image correlation: Processing requirements and implementation structures on a flexible image processing system (FLIP), in: Multicomputer and Image Processing Algorithms and Programmes. Academic Press, New York (1982).