Proceedings ArticleDOI
Automated Attendance Marking and Management System by Facial Recognition Using Histogram
Jenif D Souza W S,S. Jothi,A. Chandrasekar +2 more
- pp 66-69
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TLDR
An automated system that records the student’s attendance by using facial recognition technology for those who are present during lecture hours by using face detection and recognition algorithms is proposed.Abstract:
In proposed system an automated attendance marking and management system is proposed by using face detection and recognition algorithms. Identification of human faces by the unique characteristics or features of their face is known as Face recognition. Currently, Face recognition technology is the fastest growing technology. Instead of using the traditional methods, this proposed system aims to develop an automated system that records the student’s attendance by using facial recognition technology for those who are present during lecture hours. The main objective of this work is to make the attendance marking and management system fully automatic, simple and easy. In this work the facial recognition of face is done by image processing techniques. The processed image is used to match with the existing stored record and then attendance is marked in the database correspondingly. Compared to existing system traditional attendance marking system, this system reduces the workload of people and also saves times. This proposed system is been implemented with 4 modules such as Image Capturing, Segmentation of group photo and Face Detection, Face comparison and Recognition, Updating of Attendance in database.read more
Citations
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Journal ArticleDOI
Facial recognition using Haar cascade and LBP classifiers
TL;DR: In this article, a comparison of two face recognition techniques Haar Cascade and Local Binary Pattern was made for the classification. As a result, the accuracy of HBC was more than LBP but the execution time in HaBC was longer than HBC.
Proceedings ArticleDOI
Smart Multiple Attendance System through Single Image
TL;DR: In this article, a robust and efficient attendance marking system from a single group image using face detection and recognition algorithms is proposed, where a group image is captured from a high-resolution camera mounted at a fixed location to capture the group image for all the students sitting in a classroom.
Proceedings ArticleDOI
A Survey on Student Attendance System Using Face Recognition
TL;DR: It was found that the use of hybrid approach of Principal Components Analysis (PCA) and Linear Discriminant Analysis (LDA) algorithm, increases the accuracy of face recognition in SAS.
Proceedings ArticleDOI
Face-Recognition Based Attendance System using One-Shot Learning
TL;DR: In this paper, a system using OpenCV, dlib, Face Recognition libraries, and One-Shot Learning for face detection and recognition which requires only one image per person in the database, thus also being space-optimized as compared to traditional training-testing models.
Proceedings ArticleDOI
IoT based Intelligent Attendance Monitoring with Face Recognition Scheme
TL;DR: Face identification and face acknowledgment are performed by the raspberry-pi module and selected images perceive with stored images and will perceive the essences of each understudy, and enrollment will be given to that subject class based on that perception.
References
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Journal ArticleDOI
Study of Implementing Automated Attendance System Using Face Recognition Technique
TL;DR: A method is described for Student's Attendance System which will integrate with the face recognition technology using Personal Component Analysis (PCA) algorithm and it will record the attendance of the students in class room environment automatically.
Proceedings Article
Using real time computer vision algorithms in automatic attendance management systems
Visar Shehu,Agni Dika +1 more
TL;DR: A new approach in automatic attendance management systems, extended with computer vision algorithms, using real time face detection algorithms integrated on an existing Learning Management System (LMS), which automatically detects and registers students attending on a lecture.
Automated attendance system using face recognition
TL;DR: Project Report Submitted in partial fulfillment of the requirements for the degree of Bachelor of Computer Engineering.
Book ChapterDOI
Face Detection and Recognition for Automatic Attendance System
Onur Sanli,Bahar Ilgen +1 more
TL;DR: An Attendance System with Face Recognition has been developed which automatically tracks the attendance status of the students and performs daily activities of the attendance analysis which is an important aspect of face recognition task.
Proceedings ArticleDOI
Ear based attendance monitoring system
TL;DR: Ear is a new class of relative stable biometrics that is invarent from childhood to early old age and satisfies all the properties that should be possessed by a biometric.