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 | Face Detection Using Image Processing |
|---|---|
| ABSTRACT | Face detection is a fundamental problem in computer vision and image processing, widely used in applications such as security surveillance, attendance systems, access control, and human–computer interaction. Traditional face detection systems rely on static rules and limited feature extraction methods, which perform poorly under varying lighting conditions, face orientations, and real-time environments. This project proposes a new prototype face detection system that combines classical image processing techniques with lightweight AI models to achieve accurate, fast, and real-time face detection. The proposed system preprocesses images using noise reduction and normalization, extracts facial features using advanced algorithms, and detects faces with high accuracy even in challenging conditions. The system is designed to be scalable, low-cost, and deployable on both desktop and embedded-platform. |
| AUTHOR | K.VINODINI, CH.KANAKA DURGA, CH.HARITHA, N.SRIVALLI, R.TULASI U.G. Student, Department of ECE, SVIET Engineering College, Nandamuru, Pedana, Andhra Pradesh, India Assistant Professor, Department of ECE, SVIET Engineering College, Nandamuru, Pedana, Andhra Pradesh, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403113 |
| pdf/113_Face Detection Using Image Processing.pdf | |
| KEYWORDS | |
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