Paper Title
Face Recognition Attendance System using Pyhthon
Article Identifiers
Authors
Zainab Ansari , Ujjawal Kanoujia , Dr. Lokesh Kumar , Manvi Sudli
Keywords
Face Recognition, Local Binary Pattern Histogram (LBPH) Eigenface, AdaBoost, Cascade Haar Classifier, Principal Component Analysis (PCA), Fast PCA, Linear Discriminant Analysis (LDA).
Abstract
The history of facial recognition and its introduction is provided in below. The advantages and drawbacks of the facial recognition system are discussed in this section. Section 3 summarized the functional and non-functional requirements of the project and the feasibility of the project. The development method we adopted to build the application and tools and technologies used to build the application are discussed. The structural designs of our application and how the application functions in various layers is discussed. Various diagrams and figures explain step-by-step how the whole application works.
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How To Cite (APA)
Zainab Ansari, Ujjawal Kanoujia, Dr. Lokesh Kumar, & Manvi Sudli (May-2022). Face Recognition Attendance System using Pyhthon. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 842-854. https://ijnrd.org/papers/IJNRD2205095.pdf
Issue
Volume 7 Issue 5, May-2022
Pages : 842-854
Other Publication Details
Paper Reg. ID: IJNRD_181382
Published Paper Id: IJNRD2205095
Downloads: 000121978
Research Area: Computer Science & TechnologyÂ
Country: Dehradun, Uttarakhand, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2205095.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2205095
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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