• العربية
    • English
  • English 
    • العربية
    • English
  • Login
Home
Publisher PoliciesTerms of InterestHelp Videos
Submit Thesis
IntroductionIUGSpace Policies
JavaScript is disabled for your browser. Some features of this site may not work without it.
View Item 
  •   Home
  • Faculty of Engineering
  • Staff Publications- Faculty of Engineering
  • View Item
  •   Home
  • Faculty of Engineering
  • Staff Publications- Faculty of Engineering
  • View Item

Please use this identifier to cite or link to this item:

http://hdl.handle.net/20.500.12358/24565
TitlePalmprint Recognition by using Bandlet, Ridgelet, Wavelet and Neural Network
Untitled
Abstract

Palmprint recognition has emerged as a substantial biometric based personal identification. Tow types of biometrics palmprint feature. high resolution feature that includes: minutia points, ridges and singular points that could be extracted for forensic applications. Moreover, low resolution feature such as wrinkles and principal lines which could be extracted for commercial applications. This paper uses 700nm spectral band PolyU hyperspectral palmprint database. Multiscale image transform: bandlet, ridgelet and 2D discrete wavelet have been applied to extract feature. The size of features are reduced by using principle component analysis and linear discriminate analysis. Feed-forward Back-propagation neural network is used as a classifier. The recognition rate accuracy shows that bandlet transform outperforms others.

Authors
Abukmeil, Mohanad AM
Elaydi, Hatem A.
Alhanjouri, Mohammed A.
TypeJournal Article
Date2014
Subjects
ridgelet
palmprint recognition, 2d discrete wavele
bandlet
neural network
Published inInternational Journal of Computer and Information Technology
SeriesVolume: 3, Number: 6
Citation
Item linkItem Link
License
Collections
  • Staff Publications- Faculty of Engineering [906]
Files in this item
Elaydi, Hatem A._67.pdf753.2Kb
Thumbnail

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback
 

 

Browse

All of IUGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsSupervisorsThis CollectionBy Issue DateAuthorsTitlesSubjectsSupervisors

My Account

LoginRegister

Statistics

View Usage Statistics

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Contact Us | Send Feedback