• Aug 09, 2018 News![CFP] The annual meeting of IJFCC Editorial Board, ICCTD 2019, will be held in Prague, Czech Republic during March 2-4, 2019.   [Click]
  • Aug 09, 2018 News!IJFCC Vol. 6, No. 1-No. 3 has been indexed by EI (Inspec).   [Click]
  • Dec 24, 2018 News!The papers published in Vol.7, No.1-No.2 have all received dois from Crossref.
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2016 Vol.5(1): 13-17 ISSN: 2010-3751
doi: 10.18178/ijfcc.2016.5.1.435

A Method for Biometric Recognition of Ultrasound Palmprint Based on Principal Lines

Antonio Iula and Donatella Nardiello
Abstract—In this work, a method for biometric recognition of ultrasound palmprint based on principal lines is proposed and experimentally evaluated. Volumetric images of a region the palm hand were acquired by moving a commercial ultrasound probe over the region of interest. The obtained 3D matrix of voxels was then post elaborated to provide 2D renderings of the palmprint at different skin depths. The recognition procedure is based on the fusion of a couple of such images. A procedure for extracting main features from the fused image was then established and a preliminary database composed by 81 sample from 27 volunteers was created. Both verification and identification experiments were performed to evaluate system performances. Results have shown the effectiveness of the fusion procedure. Further possible improvements of the method are finally highlighted and discussed.

Index Terms—Biometrics, ultrasound, palmprint, image processing.

The authors are with School of Engineering, University of Basilicata, Potenza, Italy (e-mail: antonio.iula@unibas.it, donatella.nardiello@gmail.com).


Cite: Antonio Iula and Donatella Nardiello, "A Method for Biometric Recognition of Ultrasound Palmprint Based on Principal Lines," International Journal of Future Computer and Communication vol. 5, no. 1, pp. 13-17, 2016.

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