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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 : 11
Issue Published : 118
Article Submitted : 21508
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
Total Countries : 158
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Published Paper Details
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| Paper Title: | Attendance Management System Using Face Recognition |
| Authors Name: | Rohini Vhatkar , Anas shaikh , Qadri Hasan , Prof. Dinesh Deore |
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| Author Reg. ID: |
IJRTI_186252
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| Published Paper Id: | IJRTI2304235 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | This project involves building an attendance system which utilizes facial recognition to mark the presence, time-in, and time-out of employees. It covers areas such as facial detection, alignment, and recognition, along with the development of a web application to cater to various use cases of the system such as registration of new employees, addition of photos to the training dataset, viewing attendance reports, etc. This project intends to serve as an efficient substitute for traditional manual attendance systems. It can be used in corporate offices, schools, and organizations where security is essential. A Face recognition system is an application of computer vision and image processing which is capable of performing two major tasks of identifying and verifying a person from an image or a video database. The main objective is to automate the attendance system by integrating the face recognition technology using modified Local Binary Pattern (LBP) and Support Vector Machine (SVM) algorithm with Matlab Graphical User Interface (GUI). Once face detection and feature extraction is performed by using viola jones and LBP, then the image is further moved for recognition. If the image is recognized then the attendance of student is marked as present in the data base, else it marked as absent. |
| Keywords: | Attendance system, Python, Machine Learning, HTML, MySQL. |
| Cite Article: | "Attendance Management System Using Face Recognition", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1430 - 1437, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304235.pdf |
| Downloads: | 000205334 |
| 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: IJRTI2304235
Registration ID:186252
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1430 - 1437 Country: mumbai, Maharashtra, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304235 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304235 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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