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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: February 2026
Volume 11 | Issue 2
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21319
Article Published : 8476
Total Authors : 22301
Total Reviewer : 802
Total Countries : 156
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| Paper Title: | Facial recognition based attendence system with anti spoofing method |
| Authors Name: | Dr N Manjunath , Johnson J W , Pavan S S , Kaushik T , Sai Pavan R S |
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IJRTI_209058
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| Published Paper Id: | IJRTI2601019 |
| Published In: | Volume 11 Issue 1, January-2026 |
| DOI: | |
| Abstract: | Attendance monitoring remains a fundamental yet inefficient task in educational institutions, where manual roll calls and basic electronic systems continue to dominate. These approaches introduce time overhead, administrative burden, and susceptibility to proxy attendance. Although biometric solutions such as fingerprint and RFID systems offer partial automation, they suffer from hygiene concerns, hardware maintenance issues, and scalability limitations. This paper presents the design, implementation, and evaluation of a deployable facial- recognition-based attendance system optimized for classroom environments. The system integrates Haar Cascade face detection with Local Binary Pattern Histogram (LBPH) recognition and incorporates a multi-stage liveness verification pipeline combining Eye Aspect Ratio (EAR)-based blink detection with a lightweight CNN–LSTM temporal model. Attendance is recorded only when both identity recognition and liveness verification exceed pre- defined confidence thresholds. Extensive experiments conducted under realistic classroom conditions demonstrate recognition accuracy between 92% and 97%, liveness detection rates exceeding 90%, and real-time performance of 8–10 frames per second on CPU-only hardware. The proposed solution achieves a practical balance between ro- business, spoof resistance, and computational efficiency, making it suitable for deployment in resource-constrained academic institutions. |
| Keywords: | Face recognition, automated attendance, liveness detection, anti-spoofing, classroom analytics, applied computer vision |
| Cite Article: | "Facial recognition based attendence system with anti spoofing method", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a128-a131, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601019.pdf |
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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: IJRTI2601019
Registration ID:209058
Published In: Volume 11 Issue 1, January-2026
DOI (Digital Object Identifier):
Page No: a128-a131 Country: Bangalore, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2601019 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2601019 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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