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» Orientation feature for fingerprint matching
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PAMI
2007
157views more  PAMI 2007»
14 years 9 months ago
Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features
—Fingerprint friction ridge details are generally described in a hierarchical order at three different levels, namely, Level 1 (pattern), Level 2 (minutia points), and Level 3 (p...
Anil K. Jain, Yi Chen, Meltem Demirkus
ICASSP
2008
IEEE
15 years 4 months ago
Robust video fingerprinting based on affine covariant regions
This paper proposes a robust video fingerprinting method based on affine covariant regions. In video fingerprinting, a video clip is identified using short feature vectors ref...
Sunil Lee, Chang Dong Yoo
IEEEIAS
2007
IEEE
15 years 3 months ago
Generative Models for Fingerprint Individuality using Ridge Types
Generative models of pattern individuality attempt to represent the distribution of observed quantitative features, e.g., by learning parameters from a database, and then use such...
Gang Fang, Sargur N. Srihari, Harish Srinivasan
WACV
2002
IEEE
15 years 2 months ago
Fingerprint Verification Using 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
ICVGIP
2004
14 years 11 months ago
Fingerprint Classification Using Orientation Field Flow Curves
Manual fingerprint classification proceeds by carefully inspecting the geometric characteristics of major ridge curves in a fingerprint image. We propose an automatic approach of ...
Sarat C. Dass, Anil K. Jain