International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Smart Voting System Using Face Recognition |
|---|---|
| ABSTRACT | Voting is a cornerstone of democracy, enabling citizens to participate in governance. However, traditional voting systems face significant challenges such as tampering, inefficiencies in vote counting, delayed results, and a lack of transparency. Current electronic voting systems often fail to fully address these issues, including security vulnerabilities, limited accessibility, and inconsistencies across states in India. This paper proposes a blockchain-based, traceable, self-tallying electronic voting system to overcome these challenges. The system integrates QR codes and face recognition using Convolutional Neural Networks (CNN) linked to Aadhaar for multi-level authentication, ensuring secure, transparent and same-day-result elections. |
| AUTHOR | ROJA S Department of Computer Science and Engineering, Bharathidasan Engineering College, Anna University, Chennai, India |
| VOLUME | 185 |
| DOI | DOI: 10.15680/IJIRCCE.2026.14060106 |
| pdf/106_Smart Voting System Using Face Recognition.pdf | |
| KEYWORDS | |
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