Domain adaptation for ear recognition using deep convolutional neural networks-Reference-Cited by-同舟云学术

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Domain adaptation for ear recognition using deep convolutional neural networks

Published:2018-02-13 Issue:3 Volume:7 Page:199-206
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET biom.

Author:

Eyiokur Fevziye Irem¹,Yaman Dogucan¹,Ekenel Hazım Kemal¹

Affiliation:

1. Department of Computer Engineering, Istanbul Technical University34469MaslakIstanbulTurkey

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2017.0209

Reference29 articles.

1. Ear recognition: More than a survey

2. Emeršič Ž. Štepec D. Štruc V. et al. : ‘The unconstrained ear recognition challenge’.Int. Joint Conf. on Biometrics (IJCB) 2017

3. Hurley D.J. Nixon M.S. Carter J.N.: ‘Ear biometrics by force field convergence’.Int. Conf. on Audio‐ and Video‐Based Biometric Person Authentication (AVBPA) 2005 pp.386–394

4. An efficient ear recognition technique invariant to illumination and pose;Prakash S.;Telecommun. Syst.,2013

5. Wang Z.Q. Yan X.D.: ‘Multi‐scale feature extraction algorithm of ear image’.IEEE Int. Conf. on Electric Information and Control Engineering (ICEICE) 2011 pp.528–531

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