Real Time Face Identification Using a Neural Network Approach

Author:

Vázquez Juan Carlos,López Miguel,Melin Patricia

Publisher

Springer Berlin Heidelberg

Reference25 articles.

1. Abu, S., Rabiul, I., Kaushik, R.: Real Time Face recognition Using Artifial Neural Networks: A Secure Personnel Identification System, Department of Computer Science and Engineering Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh

2. Azam, F.: Biologically Inspired Modular Neural Networks., Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University (May 2000)

3. Campadelli, P., Lanzarotti, R., Lipori, G.: Automatic Facial Feature Extraction for Face Recognition., Università degli Studi di Milano Italy

4. Chao-Chun, L., Dao-Qing, D.: Discriminant Wavelet Packet Coordinates for Face Recognition. Center for Computer Vision and Department of Mathematics, Sun Yat-Sen (Zhongshan) University, Guangzhou, 510275 China

5. Curran, K., Xuelong: The Use of Neural Networks in Real-time Face Detection”, Department of Computer Science and Engineering Rajshahi University of Engineering and Technology, Rajshahi-6204, Bangladesh. Journal of Computer Sciences 1(1), 47–62 (2005)

Cited by 8 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. A Comparative Analysis of Various Methods for Attendance Framework Based on Real-Time Face Recognition Technology;Proceedings of Data Analytics and Management;2023

2. A New Hybrid Method Based on ACO and PSO with Fuzzy Dynamic Parameter Adaptation for Modular Neural Networks Optimization;Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications;2021

3. Multi-objective optimization for modular granular neural networks applied to pattern recognition;Information Sciences;2018-09

4. Optimization of Type-1 and Type-2 Fuzzy Systems Applied to Pattern Recognition;Recent Developments and New Direction in Soft-Computing Foundations and Applications;2016

5. Proposed Method;Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation;2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3