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A dynamic algorithm for palmprint recognition

Palma, David; Montessoro, Pier Luca; Giordano, Giulia LU and Blanchini, Franco (2015) 3rd IEEE International Conference on Communications and Network Security, CNS 2015 In 2015 IEEE Conference on Communications and NetworkSecurity, CNS 2015 p.659-662
Abstract

Most of the existing techniques for palmprint recognition are based on metrics that evaluate the distance between a pair of features. These metrics are typically based on static functions. In this paper we propose a new technique for palmprint recognition based on a dynamical system approach, focusing on preliminary experimental results. The essential idea is that the procedure iteratively eliminates points in both images to be compared which do not have enough close neighboring points in the image itself and in the comparison image. As a result of the iteration, in each image the surviving points are those having enough neighboring points in the comparison image. Our preliminary experimental results show that the proposed dynamic... (More)

Most of the existing techniques for palmprint recognition are based on metrics that evaluate the distance between a pair of features. These metrics are typically based on static functions. In this paper we propose a new technique for palmprint recognition based on a dynamical system approach, focusing on preliminary experimental results. The essential idea is that the procedure iteratively eliminates points in both images to be compared which do not have enough close neighboring points in the image itself and in the comparison image. As a result of the iteration, in each image the surviving points are those having enough neighboring points in the comparison image. Our preliminary experimental results show that the proposed dynamic algorithm is competitive and slightly outperforms some state-of-the-art methods by achieving a higher genuine acceptance rate.

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Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
2015 IEEE Conference on Communications and NetworkSecurity, CNS 2015
pages
4 pages
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
3rd IEEE International Conference on Communications and Network Security, CNS 2015
external identifiers
  • Scopus:84966292017
ISBN
9781467378765
DOI
10.1109/CNS.2015.7346883
language
English
LU publication?
no
id
8595dd1d-c6a0-4211-bc53-1f79e6a8d566
date added to LUP
2016-07-06 15:20:39
date last changed
2016-10-04 15:18:58
@misc{8595dd1d-c6a0-4211-bc53-1f79e6a8d566,
  abstract     = {<p>Most of the existing techniques for palmprint recognition are based on metrics that evaluate the distance between a pair of features. These metrics are typically based on static functions. In this paper we propose a new technique for palmprint recognition based on a dynamical system approach, focusing on preliminary experimental results. The essential idea is that the procedure iteratively eliminates points in both images to be compared which do not have enough close neighboring points in the image itself and in the comparison image. As a result of the iteration, in each image the surviving points are those having enough neighboring points in the comparison image. Our preliminary experimental results show that the proposed dynamic algorithm is competitive and slightly outperforms some state-of-the-art methods by achieving a higher genuine acceptance rate.</p>},
  author       = {Palma, David and Montessoro, Pier Luca and Giordano, Giulia and Blanchini, Franco},
  isbn         = {9781467378765},
  language     = {eng},
  month        = {12},
  pages        = {659--662},
  publisher    = {ARRAY(0xa42d928)},
  series       = {2015 IEEE Conference on Communications and NetworkSecurity, CNS 2015},
  title        = {A dynamic algorithm for palmprint recognition},
  url          = {http://dx.doi.org/10.1109/CNS.2015.7346883},
  year         = {2015},
}