Attendance Management Using Facial Recognition
Rajath S Bharadwaj1, Tejus S Rao2, Vinay T R3
1Rajath S Bharadwaj, Student, Department of CSE, NITTE Meenakshi Institute of Technology, Bangalore (Karnataka), India.
2Tejus S Rao, Student, Department of CSE, NITTE Meenakshi Institute of Technology, Bangalore (Karnataka), India.
3Vinay T R, Assistant Professor, Department of CSE, NITTE Meenakshi Institute of Technology, Bangalore (Karnataka), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1619-1623 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3965048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Facial recognition technologies have undergone large-scale upgrades in performance in the last decade and such systems are now popular in fields such as security and commerce. This work details a real-time automated attendance system which will mark attendance of students and employees alike. The proposed system is a real-world solution to handle day-day activities of an organization such as a college. The main task is using Principle Component Analysis in recognizing the faces of the detected person with high accuracy. The automated system maintains the attendance records of student as manual management of ledgers is a very tedious task. The system enrolls the subject’s face into the database against the subject’s ID (unique) and Name. The system then allots attendance to the recognized faces in the database.
Keyword: Face Detection; Face Recognition; Histogram; Local Binary Patterns.
Scope of the Article: Pattern Recognition