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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 : 21470
Article Published : 8508
Total Authors : 22383
Total Reviewer : 805
Total Countries : 157
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| Paper Title: | Automated Attendance System Based on Facial Recognition |
| Authors Name: | Chetan.R , Mr. Rajesh Nayak , Mrs.Rajashree Nambiar , Ms.Vrunda Adkar , Mrs. Shashikala R |
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| Author Reg. ID: |
IJRTI_170355
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| Published Paper Id: | IJRTI1706025 |
| Published In: | Volume 2 Issue 6, June-2017 |
| DOI: | |
| Abstract: | Nowadays Educational institutions are concerned about regularity of student attendance. This is mainly due to students’ overall academic performance is affected by his or her attendance in the institute. Mainly there are two conventional methods of marking attendance which are calling out the roll call or by taking student sign on paper, both were more time consuming and difficult. Hence, there is a requirement of computer-based student attendance management system which will assist the faculty for maintaining attendance records automatically, the paper titled “Automated Attendance System Based on Facial Recognition”. The functions include face identification, which saves time and eliminates chances of proxy attendance because of the face authorization. Hence, this system can be implemented in a field where attendance plays an important role. The system is designed using MATLAB platform. The proposed system uses Principal Component Analysis (PCA) algorithm which is based on Eigen face approach. This algorithm compares the test image and training image and determines students who are present and absent. The attendance record is maintained in an excel sheet which is updated automatically in the system |
| Keywords: | Principal Component Analysis (PCA), Cascade Object Detector (COD), Graphical User Interface (GUI), Excel toolbox (EX) |
| Cite Article: | "Automated Attendance System Based on Facial Recognition", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 6, page no.121 - 125, June-2017, Available :http://www.ijrti.org/papers/IJRTI1706025.pdf |
| Downloads: | 000205265 |
| 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: IJRTI1706025
Registration ID:170355
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 121 - 125 Country: Udupi, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1706025 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1706025 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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