DocumentCode
261150
Title
Comparative study of radon based low resolution palmprint image matching
Author
Chaudhari, Jitendra ; Patil, Pradeep M. ; Kosta, Y.P.
Author_Institution
Charotar Univ. of Sci. & Technol., Changa, India
fYear
2014
fDate
27-28 Feb. 2014
Firstpage
1
Lastpage
4
Abstract
This paper presents comparative study of palmprint matching algorithms for low resolution and noisy images. The principal lines and wrinkles are the only features easily extractable under low resolution. Therefore widely used Radon based approach has been studied and presented in this paper. Based on the computational complexity and fast matching, four different approaches are studied.
Keywords
Radon transforms; computational complexity; feature extraction; image matching; image resolution; palmprint recognition; Radon based low resolution palmprint image matching algorithm; Radon transform; computational complexity; feature extraction; noisy images; principal lines; wrinkles; Biometrics (access control); Computational modeling; Feature extraction; Histograms; Image resolution; Pattern recognition; Transforms; Delaunay Triangulation; Radon Transform; palmprint identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4799-3835-3
Type
conf
DOI
10.1109/ICICES.2014.7034035
Filename
7034035
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