TY - GEN
T1 - Fingerprint image enhancement by super resolution with early stopping
AU - Yuan, Zhi
AU - Wu, Jiong
AU - Kamata, Sei Ichiro
AU - Ahrary, Alireza
AU - Yan, Peimin
PY - 2009
Y1 - 2009
N2 - This paper addressed the problem of multi-frame image super resolution and its implementation to fingerprint image. The use of computers in fingerprints recognition is highly desirable in many applications where security is an important concern. However, as the performance of fingerprint recognition algorithm relies heavily on the quality of the input fingerprint images, it is essential to incorporate a fingerprint enhancement algorithm in the minutiae extraction module. Typical approaches use Gabor filter to raise the contrast between fingerprint ridges and valleys. But few of them try to increase the very basic resolution of fingerprint image. Therefore, we proposed a computer vision solution to this problem which involves the technique of super resolution. This approach can be incorporated into any traditional fingerprint enhancement algorithm as a pre-processing step, rendering a better overall enhancement result.
AB - This paper addressed the problem of multi-frame image super resolution and its implementation to fingerprint image. The use of computers in fingerprints recognition is highly desirable in many applications where security is an important concern. However, as the performance of fingerprint recognition algorithm relies heavily on the quality of the input fingerprint images, it is essential to incorporate a fingerprint enhancement algorithm in the minutiae extraction module. Typical approaches use Gabor filter to raise the contrast between fingerprint ridges and valleys. But few of them try to increase the very basic resolution of fingerprint image. Therefore, we proposed a computer vision solution to this problem which involves the technique of super resolution. This approach can be incorporated into any traditional fingerprint enhancement algorithm as a pre-processing step, rendering a better overall enhancement result.
KW - Boundary constraint
KW - Early stopping
KW - Fingerprint enhancement
KW - Maximize a Likelihood (ML)
KW - Super Resolution (SR)
UR - http://www.scopus.com/inward/record.url?scp=77949515668&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77949515668&partnerID=8YFLogxK
U2 - 10.1109/ICICISYS.2009.5357637
DO - 10.1109/ICICISYS.2009.5357637
M3 - Conference contribution
AN - SCOPUS:77949515668
SN - 9781424447541
T3 - Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
SP - 527
EP - 531
BT - Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
T2 - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Y2 - 20 November 2009 through 22 November 2009
ER -