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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
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| Paper Title: | FACE RECOGNITION BASED ATTENDANCE MANAGEMENT SYSTEM |
| Authors Name: | RASIKA RAJIV CHOUDHARI , ARVIND SARDAR |
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| Author Reg. ID: |
IJRTI_206683
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| Published Paper Id: | IJRTI2511008 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | Attendance monitoring is a critical function in educational and organizational environments, underpinning participation, accountability, and security. Traditional attendance methods, such as manual roll calls and paper registers, are fraught with inefficiencies and vulnerabilities, notably susceptibility to proxy attendance and human error. These limitations have driven the pursuit of automated, biometric-based attendance systems. With rapid advances in artificial intelligence (AI) and computer vision, face recognition has emerged as a leading biometric modality for attendance automation. This research paper presents a comprehensive review and practical evaluation of a Face Recognition-Based Attendance Management System (FRAMS), emphasizing the integration of Haar Cascade for face detection and Local Binary Pattern Histogram (LBPH) for recognition, implemented using Python and OpenCV. The study situates the proposed system within the broader context of biometric and AI-driven attendance solutions, critically examines the literature spanning classical methods and deep learning, and discusses the practical challenges, technological trade-offs, and real-world performance of contemporary face recognition-based attendance systems. |
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| Cite Article: | "FACE RECOGNITION BASED ATTENDANCE MANAGEMENT SYSTEM", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a55-a61, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511008.pdf |
| Downloads: | 000253 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2511008
Registration ID:206683
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: a55-a61 Country: Parbhani, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511008 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511008 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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