Unconstrained ear detection using ensemble‐based convolutional neural network model-Reference-Cited by-同舟云学术

Unconstrained ear detection using ensemble‐based convolutional neural network model

Published:2019-02-27 Issue:1 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Ganapathi Iyyakutti Iyappan¹^ORCID,Prakash Surya¹,Dave Ishan R.¹,Bakshi Sambit²

Affiliation:

1. Discipline of Computer Science and EngineeringIndian Institute of Technology Indore Indore India

2. Computer Science and EngineeringNational Institute of Technology Rourkela Rourkela India

Funder

Science and Engineering Research Board

Department of Science and Technology

Ministry of Steel, Government of India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5197

Reference38 articles.

1. Wavelet energy feature based source camera identification for ear biometric images

2. GirshickR.Fast R‐CNN. In: Proceedings of the 2015 International Conference on Computer Vision (ICCV);2015;Santiago Chile.

3. Ear recognition: More than a survey

4. On Applicability of Tunable Filter Bank Based Feature for Ear Biometrics: A Study from Constrained to Unconstrained

5. LiY MuZ.Ear detection based on skin‐color and contour information. In: Proceedings of the 2007 International Conference on Machine Learning and Cybernetics;2007;Hong Kong.

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