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» Combining features for distorted fingerprint matching
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SIBGRAPI
2005
IEEE
13 years 11 months ago
Ridge-Based Fingerprint Matching Using Hough Transform
Despite the efficacy of minutia-based fingerprint matching techniques for good-quality images captured by optical sensors, minutia-based techniques do not often perform so well on...
Aparecido Nilceu Marana, Anil K. Jain
PR
2006
119views more  PR 2006»
13 years 5 months ago
Fingerprint matching by genetic algorithms
Fingerprint matching is still a challenging problem for reliable person authentication because of the complex distortions involved in two impressions of the same finger. In this p...
Xuejun Tan, Bir Bhanu
ICPR
2006
IEEE
14 years 6 months ago
Pores and Ridges: Fingerprint Matching Using Level 3 Features
Fingerprint friction ridge details are generally described in a hierarchical order at three levels, namely, Level 1 (pattern), Level 2 (minutiae points) and Level 3 (pores and rid...
Anil K. Jain, Meltem Demirkus, Yi Chen
ICPR
2006
IEEE
14 years 6 months ago
Minutiae-based Fingerprint Matching Using Subset Combination
In this paper, we propose an effective fingerprint matching algorithm based on ridge count matching and minutiae subset combination. In the algorithm, the orientation-based ridge ...
Feng Zhao, Lifeng Sha, Xiaoou Tang
ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Gaussian Mixture Modeling Using Short Time Fourier Transform Features for Audio Fingerprinting
In audio fingerprinting, an audio clip must be recognized by matching an extracted fingerprint to a database of previously computed fingerprints. The fingerprints should reduc...
Arunan Ramalingam, Sridhar Krishnan