Robust fingerprint classification with Bayesian convolutional networks-Reference-Cited by-同舟云学术

Robust fingerprint classification with Bayesian convolutional networks

Published:2019-05-21 Issue:8 Volume:13 Page:1280-1288
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Zia Tehseen¹,Ghafoor Mubeen¹,Tariq Syed Ali¹^ORCID,Taj Imtiaz A.²

Affiliation:

1. Department of Computer ScienceCOMSATS Institute of Information TechnologyIslamabadPakistan

2. Department of Electrical EngineeringCapital University of Science and TechnologyIslamabadPakistan

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.5466

Reference45 articles.

1. Handbook of Fingerprint Recognition

2. A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models

3. On the use of convolutional neural networks for robust classification of multiple fingerprint captures

4. Deep learning

5. 2012 Advances in Neural Information Processing Systems 25 Lake Tahoe Nevada USA A. Krizhevsky I. Sutskever G.E. Hinton Imagenet classification with deep convolutional neural networks 1097 1105

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