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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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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19623
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| Paper Title: | A Review of Recent Advancements in Face Recognition Systems |
| Authors Name: | K. S. Krishnendu |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_186679
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| Published Paper Id: | IJRTI2305120 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Face recognition technology has made significant advancements in recent years. It is quite convenient and simple to capture facial features even from a long distance since it offers a non-contact process. Also, it is now widely accepted that facial features are a highly effective way of identifying individuals, surpassing other biometric measures like fingerprints, which require contact sensors. However, false match and false non-match errors in face recognition systems are challenging since they significantly drop the performance accuracy. Researchers currently concentrate on enhancing accuracy by refining feature extraction and pre-processing algorithms. Deep learning using neural networks with multiple layers to learn complex and high-level features from data has made remarkable contributions to Computer Vision. Since face recognition technology is widely used in areas like law enforcement and surveillance, precision and performance need to be the top priorities. This paper examines and analyzes various face recognition systems, including RPRV, LWKPCA, SVM Model, LTrP-based SPM, SynFace, AdaFace, and a deep learning framework for recognizing images from CCTV. The methods involved, design feasibility, implementation details, and performance evaluation of each model are compared to determine the best approach for future development. |
| Keywords: | face recognition, intra-class variations, interclass similarities, false match errors, false non-match errors, deep learning-based face recognition framework. |
| Cite Article: | "A Review of Recent Advancements in Face Recognition Systems", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.764 - 771, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305120.pdf |
| Downloads: | 000205080 |
| 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: IJRTI2305120
Registration ID:186679
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 764 - 771 Country: Thrissur, Kerala, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305120 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305120 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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