TY - GEN
T1 - A fingerprint recognition algorithm using phase-based image matching for low-quality fingerprints
AU - Ito, Koichi
AU - Moritat, Ayumi
AU - Aoki, Takafumi
AU - Higuchi, Tatsuo
AU - Nakajima, Hiroshi
AU - Kobayashi, Koji
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - A major approach for fingerprint recognition today is to extract minutiae from fingerprint images and to perform fingerprint matching based on the number of corresponding minutiae pairings. One of the most difficult problems in fingerprint recognition has been that the recognition performance is significantly influenced by fingertip surface condition, which may vary depending on environmental or personal causes. Addressing this problem, this paper presents a fingerprint recognition algorithm using phase-based image matching. The use of phase components in 2D (two-dimensional) discrete Fourier transforms of fingerprint images makes possible to achieve highly robust fingerprint recognition for low-quality fingerprints. Experimental evaluation using a set of fingerprint images captured from fingertips with difficult conditions (e.g., dry fingertips, rough fingertips, allergic-skin fingertips) demonstrates an efficient recognition performance of the proposed algorithm compared with a typical minutiae-based algorithm.
AB - A major approach for fingerprint recognition today is to extract minutiae from fingerprint images and to perform fingerprint matching based on the number of corresponding minutiae pairings. One of the most difficult problems in fingerprint recognition has been that the recognition performance is significantly influenced by fingertip surface condition, which may vary depending on environmental or personal causes. Addressing this problem, this paper presents a fingerprint recognition algorithm using phase-based image matching. The use of phase components in 2D (two-dimensional) discrete Fourier transforms of fingerprint images makes possible to achieve highly robust fingerprint recognition for low-quality fingerprints. Experimental evaluation using a set of fingerprint images captured from fingertips with difficult conditions (e.g., dry fingertips, rough fingertips, allergic-skin fingertips) demonstrates an efficient recognition performance of the proposed algorithm compared with a typical minutiae-based algorithm.
UR - http://www.scopus.com/inward/record.url?scp=33749592436&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749592436&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2005.1529984
DO - 10.1109/ICIP.2005.1529984
M3 - Conference contribution
AN - SCOPUS:33749592436
SN - 0780391349
SN - 9780780391345
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 33
EP - 36
BT - IEEE International Conference on Image Processing 2005, ICIP 2005
T2 - IEEE International Conference on Image Processing 2005, ICIP 2005
Y2 - 11 September 2005 through 14 September 2005
ER -