INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Attendence sysytem by face recognition using sift algorithm and SMS reporting to parents mobile
Authors Name:
Khaleel
, Spandana , Pavani , Aishwarya , Lawanya
Unique Id:
IJSDR1704125
Published In:
Volume 2 Issue 4, April-2017
Abstract:
Face recognition includes analysis of an image and extracting its facial features which will help to discriminate it from others. It deals with unique facial characteristics of human beings. It involves the technique of image processing systems, identity authentication and video retrieval. Scale invariant feature transform (SIFT) is used to extract distinctive invariant features from images. It can also be used to perform reliable matching. The features extracted are invariant to rotation, image scale and illumination. In this project an approach to detection and identification of human faces is represented and then recognizes the person by comparing characteristics of the face to those of known individuals is described.
Keywords:
Face recognition, feature extraction ,GSM ,image processing ,SIFT.
Cite Article:
"Attendence sysytem by face recognition using sift algorithm and SMS reporting to parents mobile", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 4, page no.645 - 646, April-2017, Available :http://www.ijsdr.org/papers/IJSDR1704125.pdf
Downloads:
000337064
Publication Details:
Published Paper ID: IJSDR1704125
Registration ID:170297
Published In: Volume 2 Issue 4, April-2017
DOI (Digital Object Identifier):
Page No: 645 - 646
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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