Paper Title

Enhancement of Face and Non-Face Recognition in Biometrics Technology

Authors

Nilesh Wadhe

Keywords

Face Recognition, Biometrics, Canny Edge Detection, Robert, Previtt, Sobel.

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.

How To Cite

"Enhancement of Face and Non-Face Recognition in Biometrics Technology ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 12, page no.146 - 150, December-2016, Available :https://ijsdr.org/papers/IJSDR1612028.pdf

Issue

Volume 1 Issue 12, December-2016

Pages : 146 - 150

Other Publication Details

Paper Reg. ID: IJSDR_160992

Published Paper Id: IJSDR1612028

Downloads: 000347229

Research Area: Engineering

Country: Amravati / Amravati, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1612028

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1612028

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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