Optimization of Convolutional Neural Network Structure for Biometric Authentication by Face Geometry-Reference-Cited by-同舟云学术

Optimization of Convolutional Neural Network Structure for Biometric Authentication by Face Geometry

Published:2018-05-12 Issue: Volume: Page:567-577
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Hu Zhengbing,Tereykovskiy Igor^ORCID,Zorin Yury^ORCID,Tereykovska Lyudmila^ORCID,Zhibek Alibiyeva

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-91008-6_57

Reference19 articles.

1. Arsentyev, D.A., Biryukova, T.S.: Method of flexible comparison on graphs as algorithm of images recognition. Bull. Ivan Fedorov MGUP 6, 74–75 (2015). (in Russian)

2. Bryliuk, D., Starovoitov, V.: Application of recirculation neural network and principal component analysis for face recognition. In: The 2nd International Conference on Neural Networks and Artificial Intelligence, BSUIR, Minsk, pp. 136–142 (2001)

3. Chirchi, V.R.E., Waghmare, L.M.: Iris biometric authentication used for security systems. Int. J. Image Graph. Sig. Process. (IJIGSP) 6(9), 54–60 (2014). https://doi.org/10.5815/ijigsp.2014.09.07

4. Connaughton, R., Bowyer, K.W., Flynn, P.J.: Fusion of face and iris biometrics. In: Handbook of Iris Recognition, pp. 219–237. Springer, London (2013)

5. Dyomin, A.A.: Adaptive processing of the calligraphic information presented in the form of hand-written symbols. Ph.D. dissertation, Moscow, p. 182 (2014). (in Russian)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Method of Clustering Geoinformation Data for Stationary Sectoral Geoinformation Systems Using Swarm Intelligence Methods;Lecture Notes in Networks and Systems;2023

2. Speaker's Emotions Recognition Module Based on the GoogleLeNet Neural Network;2022 International Conference on Smart Information Systems and Technologies (SIST);2022-04-28

3. PROCEDURE FOR USING NEURAL NETWORKS FOR SEGMENTATION OF RASTER IMAGES;Cybersecurity: Education, Science, Technique;2022

4. Significant Parameters of the Keystroke for the Formation of the Input Field of a Convolutional Neural Network;Advances in Computer Science for Engineering and Education III;2020-08-06

5. Two-Layer Perceptron for Voice Recognition of Speaker’s Identity;Advances in Computer Science for Engineering and Education III;2020-08-06