2017 · 63 citations · 9 references
ComputingComputer ScienceAuthenticationComputer VisionHuman-computer InteractionAttendance ManagementAttendance SystemsFace RecognitionImage AnalysisPattern RecognitionPrincipal Component AnalysisAttendance System ImplementationAttendance System IntegrationAutomated Attendance SystemsFace Recognition AttendanceFace Recognition AuthenticationFace VerificationFacial Recognition Attendance SystemsHistogram Equalization
A Face recognition system is an application of computer vision and image processing which is capable of performing two major tasks of identifying and verifying a person from an image or a video database. The objective of this paper is to automate the attendance system by integrating the face recognition technology using Eigen Face database and PCA algorithm with Matlab GUI. In Conventional attendance system there are several issues like fake attendance, lot of time consumption, manipulation of attendance, information cannot be secure. There are many limitations in implementing face recognition technologies like Image Quality, Image Size, Face angle, varying intensity of light. In order to overcome these issues various techniques like Illumination Invariant, Histogram equalization, PCA are used. By using this system attendance is updated automatically after comparing the detected face with original Eigen database in Ex eel sheet integrated with Matlab GUI.
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Face recognition using Histograms of Oriented Gradients
Óscar Déniz, Gloria Bueno, Jesús Salido et al. · Pattern Recognition Letters · 2011 · 617 citations
Attendance system based on face recognition using eigen face and PCA algorithms
Priyanka Wagh, Roshani Thakare, Jagruti Chaudhari et al. · 2015 · 118 citations
Face recognition using Principal Component Analysis
Ramandeep Kaur, Er. Himanshi · 2015 · 109 citations