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
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies