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
Enhancement of Face and Non-Face Recognition in Biometrics Technology
Authors Name:
Nilesh Wadhe
Unique Id:
IJSDR1612028
Published In:
Volume 1 Issue 12, December-2016
Abstract:
Face recognition system is a group of programs for automatically recognize a person from a digital graphics or a video frame. Way to do this is by comparing selected characteristics from graphics and face database. Some facial recognition applications identify facial features by extracting landmarks, or features from graphics of subject's face. In this research we have studied & evaluate different edge detection techniques. We have seen that canny edge detector gives better result as compared to others with some positive points. It is less sensitive to noise, adaptive within nature, resolved problem of streaking, provides good localization & detects sharper edges as compared to others.
Keywords:
Face Recognition, Biometrics, Canny Edge Detection, Robert, Previtt, Sobel.
Cite Article:
"Enhancement of Face and Non-Face Recognition in Biometrics Technology ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 12, page no.146 - 150, December-2016, Available :http://www.ijsdr.org/papers/IJSDR1612028.pdf
Downloads:
000337072
Publication Details:
Published Paper ID: IJSDR1612028
Registration ID:160992
Published In: Volume 1 Issue 12, December-2016
DOI (Digital Object Identifier):
Page No: 146 - 150
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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