Review on Facial Recognition Automatic Attendance System Software |
Author(s): |
| Kiran Digambar Kamble , JSPMs Bhivarabai Sawant Institute of Technology and Research, Wagholi, Pune; Shubham Arun Jadhav, JSPMs Bhivarabai Sawant Institute of Technology and Research, Wagholi, Pune; Rushikesh Prakash Patil, JSPMs Bhivarabai Sawant Institute of Technology and Research, Wagholi, Pune; Swapnil Mangesh Phase, JSPMs Bhivarabai Sawant Institute of Technology and Research, Wagholi, Pune; Dr. G. M. Bhandari, JSPMs Bhivarabai Sawant Institute of Technology and Research, Wagholi, Pune |
Keywords: |
| Image Processing, Expressions, HAAR Features, HOG Features, Face Detection Method, Face Recognition Method, Features Extraction, Features Matching, Query Image |
Abstract |
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Human beings perform face recognition automatically every day and practically with no effort. Various organizations like schools, colleges, companies, etc., require to keep the daily record of their students/employees. Manual attendance maintaining is difficult process, especially for large group of students. This paper introduces face detection method using the Voila and Jones algorithm and Face recognition using Local Binary Patterns Histograms (LBPH) algorithm, this proposed system aims to develop an automated system that records the student’s attendance by using facial recognition technology. The main objective of this work is to make the attendance marking and management system efficient, time saving, simple and easy. Here faces will be recognized using face recognition algorithms. The processed image will then be compared against the existing stored record and then attendance is marked in the database accordingly. Compared to existing system traditional attendance marking system, this system reduces the workload of people. This proposed system will be implemented with 4 phases such as Image Capturing, Image Pre-Processing and Face Detection, Training Data and Face recognition Updating of attendance in database/csv file. |
Other Details |
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Paper ID: IJSRDV9I40376 Published in: Volume : 9, Issue : 4 Publication Date: 01/07/2021 Page(s): 480-481 |
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