A robust method for the recognition of palmprints

O Nibouche, H. Wang, Sriram Varadarajan, Bryan Scotney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Palmprint recognition has received in the last 20 years a great deal of the research community's attention. In this paper a new palmprint matching approach based on corner feature point extraction is proposed. A 72-element fixed-length descriptor is used to capture distinctive information of each feature point neighborhood and to build a measure of similarity whilst their coordinates provide a measure of proximity between the points. Matching two images takes into account both similarity and proximity measures which converts into a cost minimization problem. Our experiments carried out on a database of 250 prints from the Poly U database have yielded very good results evidenced by an EER of 0.31%.
LanguageEnglish
Title of host publication14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
ISBN (Electronic)978-1-5386-2939-0
Publication statusPublished - 29 Aug 2017
Event14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) - Lecce, Italy
Duration: 29 Aug 20171 Sep 2017
https://ieeexplore.ieee.org/xpl/conhome/8055736/proceeding

Conference

Conference14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
CityItaly
Period29/08/171/09/17
Internet address

Fingerprint

Palmprint recognition
Costs
Experiments

Keywords

  • Feature extraction
  • Robustness
  • Databases
  • Coordinate measuring machines
  • Image resolution
  • Transforms
  • Eigenvalues and eigenfunctions

Cite this

Nibouche, O., Wang, H., Varadarajan, S., & Scotney, B. (2017). A robust method for the recognition of palmprints. In 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017
Nibouche, O ; Wang, H. ; Varadarajan, Sriram ; Scotney, Bryan. / A robust method for the recognition of palmprints. 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017. 2017.
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Nibouche, O, Wang, H, Varadarajan, S & Scotney, B 2017, A robust method for the recognition of palmprints. in 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017. 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Italy, 29/08/17.

A robust method for the recognition of palmprints. / Nibouche, O; Wang, H.; Varadarajan, Sriram; Scotney, Bryan.

14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017. 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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KW - Image resolution

KW - Transforms

KW - Eigenvalues and eigenfunctions

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Nibouche O, Wang H, Varadarajan S, Scotney B. A robust method for the recognition of palmprints. In 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017. 2017