A Literature Survey on Online Voting System using Face Recognition

Author:

Chethan K 1,Sachin Kumar A 1

Affiliation:

1. Global Academy of Technology, Bengaluru, India

Abstract

This paper presents a creative technique for overseeing modernizing the larger part rule cycle through the mix of face certification improvement into an internet projecting a surveying structure framework. By utilizing facial certification calculations, occupants can safely certify their characters from a decent ways, guaranteeing the uprightness and security of the discretionary association. The proposed structure means to overhaul straightforwardness, accuracy, and straightforwardness in fair strategies, tending to stresses related with character check and fake exercises. Through thorough testing and underwriting, this plan offers a promising development for driving the capacity and reliability of web based projecting a surveying structure systems in contemporary social orders

Publisher

Naksh Solutions

Reference9 articles.

1. Tan, H., and Kumar, A. (2020). "Towards more precise contactless finger impression details extraction and Posture Invariant coordinating." IEEE Exchanges on Data Crime scene investigation and Security

2. Sridharan, S. (2013). "Execution of confirmed and secure web based casting a ballot framework." In 2013 Fourth Worldwide Gathering on Figuring, Correspondences and Systems administration Advances (ICCCNT).

3. Ku ̈sters, R., Truderung, T., and Vogt, A. (2012). "Conflict Assaults on the Unquestionable status of E-Casting a ballot Frameworks". College of Trier, Germany.

4. Shaikh, A., Oswal, B., Parekh, D., and Jani, B. Y. (2014). "E-casting a ballot Utilizing One Time Secret phrase and Face Location And Acknowledgment". Global Diary of Designing Exploration and Innovation (IJERT), 3(2), 1-4.

5. Agarwal, S., Dev, P., Haider, A., Chandel, R., and Jamwal, A. (2020). "Biometric Based Got Distant Electronic Democratic Framework." In IEEE seventh Worldwide Meeting on Brilliant Designs and Frameworks ICSSS 2020.

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