Fourier spectral of PalmCode as descriptor for palmprint recognition

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Abstract

Study on automatic person recognition by palmprint is currently a hot topic. In this paper, we propose a novel palmprint recognition method by transforming the typical palmprint phase code feature into its Fourier frequency domain. The resulting real-valued Fourier spectral features are further processed by horizontal and vertical 2DPCA method, which proves highly efficient in terms of computational complexity, storage requirement and recognition accuracy. This paper also gives a contrast study on palm code and competitive code under the proposed feature extraction framework. Besides, experimental results on the Hongkong PolyU Palmprint database demonstrate that the proposed method outperforms many currently reported local Gabor pattern approaches for palmprint recognition.
Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013)
EditorsMeiru Mu
PublisherSCITEPRESS
Pages22-32
Number of pages11
ISBN (Print)978-989-8565-41-9
DOIs
Publication statusPublished - Feb 2013
Event2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013 - Barcelona, Spain
Duration: 15 Feb 201318 Feb 2013
Conference number: 2

Conference

Conference2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013
Abbreviated titleICPRAM
CountrySpain
CityBarcelona
Period15/02/1318/02/13

Fingerprint

Palmprint recognition
Feature extraction
Computational complexity

Keywords

  • SCS-Safety
  • Gabor filtering
  • Palm code
  • Fourier spectral
  • Horizontal and vertical 2DPCA
  • Palmprint recognition

Cite this

Ruan, Q., Spreeuwers, L. J., & Veldhuis, R. N. J. (2013). Fourier spectral of PalmCode as descriptor for palmprint recognition. In M. Mu (Ed.), Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013) (pp. 22-32). SCITEPRESS. https://doi.org/10.5220/0004228000220032
Ruan, Qiuqi ; Spreeuwers, Lieuwe Jan ; Veldhuis, Raymond N.J. / Fourier spectral of PalmCode as descriptor for palmprint recognition. Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013). editor / Meiru Mu. SCITEPRESS, 2013. pp. 22-32
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title = "Fourier spectral of PalmCode as descriptor for palmprint recognition",
abstract = "Study on automatic person recognition by palmprint is currently a hot topic. In this paper, we propose a novel palmprint recognition method by transforming the typical palmprint phase code feature into its Fourier frequency domain. The resulting real-valued Fourier spectral features are further processed by horizontal and vertical 2DPCA method, which proves highly efficient in terms of computational complexity, storage requirement and recognition accuracy. This paper also gives a contrast study on palm code and competitive code under the proposed feature extraction framework. Besides, experimental results on the Hongkong PolyU Palmprint database demonstrate that the proposed method outperforms many currently reported local Gabor pattern approaches for palmprint recognition.",
keywords = "SCS-Safety, Gabor filtering, Palm code, Fourier spectral, Horizontal and vertical 2DPCA, Palmprint recognition",
author = "Qiuqi Ruan and Spreeuwers, {Lieuwe Jan} and Veldhuis, {Raymond N.J.}",
year = "2013",
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Ruan, Q, Spreeuwers, LJ & Veldhuis, RNJ 2013, Fourier spectral of PalmCode as descriptor for palmprint recognition. in M Mu (ed.), Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013). SCITEPRESS, pp. 22-32, 2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013, Barcelona, Spain, 15/02/13. https://doi.org/10.5220/0004228000220032

Fourier spectral of PalmCode as descriptor for palmprint recognition. / Ruan, Qiuqi; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.

Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013). ed. / Meiru Mu. SCITEPRESS, 2013. p. 22-32.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AB - Study on automatic person recognition by palmprint is currently a hot topic. In this paper, we propose a novel palmprint recognition method by transforming the typical palmprint phase code feature into its Fourier frequency domain. The resulting real-valued Fourier spectral features are further processed by horizontal and vertical 2DPCA method, which proves highly efficient in terms of computational complexity, storage requirement and recognition accuracy. This paper also gives a contrast study on palm code and competitive code under the proposed feature extraction framework. Besides, experimental results on the Hongkong PolyU Palmprint database demonstrate that the proposed method outperforms many currently reported local Gabor pattern approaches for palmprint recognition.

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Ruan Q, Spreeuwers LJ, Veldhuis RNJ. Fourier spectral of PalmCode as descriptor for palmprint recognition. In Mu M, editor, Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013). SCITEPRESS. 2013. p. 22-32 https://doi.org/10.5220/0004228000220032