Current Volume 9
Abstract
In both academics and business, tracking attendance is a crucial administrative procedure. Current techniques, including manual roll calls, RFID cards, barcode IDs, and fingerprint scanners, are inefficient, prone to manipulation, and have environmental restrictions and hygienic issues. Face-recognition systems have gained popularity because they are frictionless and easy to use, but they still have drawbacks including illumination variations, position changes, complex backgrounds, occlusions, and individual facial similarities. This study suggests a hybrid Face and Uniform-Based Attendance System that combines uniform pattern and color-based identification with facial recognition. By significantly lowering impersonation and proxy attendance, the dual-authentication approach increases accuracy and dependability. The system performs better in a variety of real-world scenarios by using LBPH for facial recognition and HSV-based segmentation for consistent identification. When compared to face-only systems, experiments show a 35% decrease in false positives. A thorough literature analysis, theoretical background, methodology, system design, algorithmic breakdown, experiments, evaluation measures, benefits, drawbacks, and potential improvements are all included in this expanded study
Keywords
OpenCV, Haar Cascade Algorithm, MySQL, Python.
Citations
IRE Journals:
Ansh Singh, Anurag Singh, Raj Gupta, Sabiya Fatima "Face and Uniform-Based Attendance System" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 744-752 https://doi.org/10.64388/IREV9I11-1717423
IEEE:
Ansh Singh, Anurag Singh, Raj Gupta, Sabiya Fatima
"Face and Uniform-Based Attendance System" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717423
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IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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