Paper Info
Title
Fingerprint recognition using Polynomial Discrete Radon Transform
Abstract
This paper presents a new approach to identify persons using their fingerprints. The proposed approach is based on the Polynomial Discrete Radon Transform (PDRT). The PDRT extends the Classical Radon Transform (RT) by generalizing the curves used for the projection. In fact, the classical Radon projection is restricted to straight lines. However, the PDRT method projects the image along polynomial curves following different directions. The proposed technique enables the extraction of directional characteristics from the fingerprint of the hand. Since several methods in the literature reached a level of success on fingerprint recognition, this paper proposes a new identification method which is invariant to geometrical transformations such as translation and rotation. In addition, it is robust to noise. To evaluate the performance of this approach, we have tested it on a database containing 128 fingerprint images. The obtained result confirms the efficiency of the method.
Year
DOI
Venue
2014
10.1109/IPTA.2014.7001981
IPTA
Keywords
Field
DocType
polynomial discrete radon transform,fingerprint identification,discrete transforms,fingerprint,computational geometry,rotation,geometrical transformations,person identification,feature extraction,directional characteristics extraction,curve generalization,polynomial curves,radon transforms,translation,polynomials,fingerprint recognition,pdrt method,robustness,databases
Computer vision,Pattern recognition,Polynomial,Computer science,Fingerprint recognition,Radon,Robustness (computer science),Feature extraction,Fingerprint,Invariant (mathematics),Artificial intelligence,Radon transform
Conference
ISSN
Citations 
PageRank 
2154-512X
0
0.34
References 
Authors
6
5
Name
Order
Citations
PageRank
Ines Elouedi133.13
Hamdi Dhikra200.34
Régis Fournier3123.37
Amine Naït-Ali44610.27
Atef Hamouda54012.57