Smart Attendance System using HOG and SVM

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Smart Attendance System using HOG and SVM
Author(s):
Abhishek Gavkare, Ashish Mandlik, Abhishek Mutkule, Ayush Chinchane, Amrin Sheikh
Keywords:
face detection, face recognition, Histogram of Oriented Gradients (HOG)
Abstract
As we know, attendance is an essential thing for schools, colleges, etc. However, the current attendance approach is very time-consuming, manual work, and a chance to make some mistakes like a proxy in attendance. This research can solve all the problems of the current attendance system. Our research is aimed at the attendance systems using face recognition which is very useful, less time-consuming, and accurate. The attendance system uses faces as input to be detected and recognized by a student and stored as a face database. The process of identifying face images using Histogram of Oriented Gradients (HOG) data captured by the camera with face images
Article Details
Unique Paper ID: 151645 Publication Volume & Issue: Volume 8, Issue 1 Page(s): 443 - 447
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