A Novel Attendance System based on face recognition using Haar-cascade and SVM

Automated Face Recognition technology (AFR) has led to numerous advancements in the ever-changing world. Smart Attendance utilizes real-time Face Recognition as an actual-world solution that is integrated with everyday activities that help manage students' attendance. For this Automatic attenda...

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Bibliographic Details
Published in2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) pp. 872 - 876
Main Authors Ramya, Y., Saraswathi, G., Bhargavi, K.Hari, Rachapudi, Venubabu
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.01.2022
Subjects
Error analysis
face detection
Face recognition
Haar Cascade
Image recognition
LBPH(Local Binary Pattern Histogram)
Real-time systems
Support vector machines
Surveillance
SVM
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Summary:Automated Face Recognition technology (AFR) has led to numerous advancements in the ever-changing world. Smart Attendance utilizes real-time Face Recognition as an actual-world solution that is integrated with everyday activities that help manage students' attendance. For this Automatic attendance system. LBPH and Haar-cascade are used to recognize and detect the image with low-rate error accuracy and for fast calculation of the image recognition. In this process the images were captured from the surveillance and recognized with low error rate.
DOI:10.1109/ICSSIT53264.2022.9716423