Dynamic ROI extraction method for hand vein images-Reference-Cited by-同舟云学术

Dynamic ROI extraction method for hand vein images

Published:2018-03-02 Issue:5 Volume:12 Page:586-595
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Damak Wafa¹,Boukhris Trabelsi Randa¹,Alima Damak Masmoudi¹,Sellami Dorra¹

Affiliation:

1. Computers Imaging Electronics and Systems Group (CIELS) from Advanced Control and Energy Management Laboratory (CEM‐Lab)University of Sfax, Sfax Engineering SchoolBP W3038SfaxTunisia

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2017.0613

Reference27 articles.

1. Li K. Zhang G. Wang Y. et al: ‘Hand‐dorsa vein recognition based on improved partition local binary patterns’.Chinese Conf. on Biometric Recognition 2015 pp.312–320

2. Hand vein image enhancement with radon like features descriptor;Trabelsi R.B.;Int. J. Comput., Electr., Autom., Control Inf. Eng.,2013

3. A novel finger vein recognition system based on monogenic local binary pattern features;Masmoudi A.D.;Int. J. Eng. Technol. (IJET),2014

4. A novel biometric system based hand vein recognition;Trabelsi R.B.;J. Test. Eval.,2013

5. Implementation of a fingervein recognition system based on improved Gaussian matched filter;Masmoudi A.D.;J. Magnt. Res. Rep.,2014

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