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 Recognition System using Machine Learning |
|---|---|
| ABSTRACT | Face recognition is a critical area in computer vision, enabling systems to identify and verify individuals using facial features. This study presents a machine learning-based approach using a custom dataset captured via camera. We implement preprocessing, feature extraction using Principal Component Analysis (PCA), and classification with Support Vector Machines (SVM) and k-Nearest Neighbors (k-NN). Experimental results demonstrate high accuracy and robustness under varying conditions. Future work may incorporate deep learning models and larger datasets to enhance real-time performance. |
| TITLE | |
| AUTHOR | SHRUTI ANIL MISAR, SAKSHI SUNIL PADWAL, NEHA NIKAMBE, ATHARVA NARALE |
| VOLUME | 176 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1311016 |
| pdf/16_Face Recognition System using Machine Learning.pdf | |
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