Intelligent face recognition and navigation system using neural learning for smart security in Internet of Things

Author:

Kumar Priyan Malarvizhi,Gandhi Ushadevi,Varatharajan R.,Manogaran Gunasekaran,R. Jidhesh,Vadivel Thanjai

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference46 articles.

1. WHO: Visual impairment and blindness. http://www.webcitation.org/6YfcCRh9L (August 2014)

2. Muharram, A.A., Noaman, K.M., Alqubati, I.A.: Neural networks and machine learning for pattern recognition. Int. J. Comput. Appl. 122(12), 0975 (2015)

3. Xinhua, L., Qian, Y.: Face recognition based on deep neural network. Int. J. Signal Process. Imag. Process. Pattern Recognit. 8(10), 29–38 (2015)

4. Satonkar, S.S., Pathak, V.M., Khanale, P.B.: Face recognition using principal component analysis and artificial neural network of facial images datasets in soft computing. In: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), vol. 4, No. 4, July–August (2015)

5. Oravec, M.: Feature extraction and classification by machine learning methods for biometric recognition of face and iris. In: 56th International Symposium ELMAR, pp. 10–12 (September 2014)

Cited by 192 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. Recognition of Facial Expression with the Help of IoT, AI and Robotics;International Journal of Innovative Science and Research Technology (IJISRT);2024-07-25

2. Intelligent identification system of wild animals image based on deep learning in biodiversity conservation law;Journal of Computational Methods in Sciences and Engineering;2024-06-17

3. Towards efficient and robust face recognition through attention-integrated multi-level CNN;Multimedia Tools and Applications;2024-06-05

4. A comprehensive review of navigation systems for visually impaired individuals;Heliyon;2024-06

5. A Novel Technique for Facial Recognition Based on the GSO-CNN Deep Learning Algorithm;Journal of Electrical and Computer Engineering;2024-05-20

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