Skip to main content

Student Attendance Management Automation Using Face Recognition Algorithm

Page 1

International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 10 Issue: 08 | Aug 2023

p-ISSN: 2395-0072

www.irjet.net

Student Attendance Management Automation Using Face Recognition Algorithm Savitha M Asst. Professor, Dept. of CSE, Vivekananda College of Engineering and Technology, Puttur, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract - Attendance management using Real-Time Face Recognition is a real-world solution to day to day activities of handling student attendance system. The system aims to improve attendance management by eliminating the manual process of entering attendance and reducing time and errors. The proposed student attendance management automation system uses the Haar cascading and Local Binary Pattern Histogram algorithm. The system uses a camera to capture the facial features of the students and applies the Haar cascading algorithm to detect faces. The LBPH algorithm is then applied to recognize the faces and mark attendance. The system provides real-time attendance reports, and the attendance details can be accessed by authorized personnel. Key Words: Face Recognition, Attendance, LBPH algorithm, Haar cascading algorithm, Camera, students.

1. INTRODUCTION The paper considers the importance of automation in attendance systems, highlighting the advancements that have taken place to improve efficiency. The focus of the paper is on automated attendance systems, which have replaced the traditional method of attendance marking. These systems are based on bio-metric, smart-card, and web-based and are used in different organizations. The traditional method of attendance marking is time-consuming and can be complicated when dealing with a large number of people. Automation of attendance systems saves time, increases accuracy, and can also be used for security purposes, preventing fake attendance. The proposed attendance management system, which is based on biometrics (in this case, face recognition), consists of several stages, including image acquisition, database development, face detection, feature extraction, Face Recognition, and Attendance Marking. The paper provides a literature survey, a detailed description of the various stages involved in the proposed model, the results obtained, and conclusions drawn from the study.

The system ensures a fool-proof method for marking attendance. [2] T. Lim, S. Sim, and M. Mansor worked on Rfid based attendance system,” in Industrial Electronics & Applications. The authors propose an RFID-based attendance system where students carry an ID card with an embedded RFID tag. Students have to place the card on the card reader to record their attendance, and the system is connected to a computer via RS232 to save the attendance in the database. [3] S. Kadry and K. Smaili worked on A design and implementation of a wireless iris recognition attendance management system. The authors propose an iris recognition system based on Daugman's algorithm. The system captures iris images, performs feature extraction, stores thedata, and matches the iris data to verify the identity ofindividuals. [4] Roshan Tharanga, S. M. S. C. Samarakoon worked on Smart attendance using real time face recognition. The authors propose a real-time face recognition system that is reliable, secure, and fast. The system uses face recognition algorithms to detect and recognize faces, and it can be used for attendance management in various settings.

3. PROPOSED SYSTEM The proposed system of automated student attendance system is shown in figure 1. The system captures the face of students and stores it in the database for their attendance. The face of the studentsshould be captured in such a manner that all the feature of the student’s face needs to be recorded and analyzed with the existing record. Further, the recognized image of the student is provided with attendance, else ignored.

2. LITERATURE SURVEY [1] B. K. Mohamed and C. Raghu worked on Fingerprint attendance system for classroom needs. The system uses a portable fingerprint device that can be passed among students to place their finger on the sensor during lecture time without the instructor's intervention. © 2023, IRJET

|

Impact Factor value: 8.226

|

ISO 9001:2008 Certified Journal

|

Page 347


Turn static files into dynamic content formats.

Create a flipbook