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Reseach Article

HFDA: Hybrid Face Detection Algorithm for Analyzing of Biometric Application

by Surbhi Choudhary, Ashish Tiwari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 157 - Number 4
Year of Publication: 2017
Authors: Surbhi Choudhary, Ashish Tiwari
10.5120/ijca2017912659

Surbhi Choudhary, Ashish Tiwari . HFDA: Hybrid Face Detection Algorithm for Analyzing of Biometric Application. International Journal of Computer Applications. 157, 4 ( Jan 2017), 10-14. DOI=10.5120/ijca2017912659

@article{ 10.5120/ijca2017912659,
author = { Surbhi Choudhary, Ashish Tiwari },
title = { HFDA: Hybrid Face Detection Algorithm for Analyzing of Biometric Application },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 157 },
number = { 4 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume157/number4/26817-2017912659/ },
doi = { 10.5120/ijca2017912659 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:03:00.452167+05:30
%A Surbhi Choudhary
%A Ashish Tiwari
%T HFDA: Hybrid Face Detection Algorithm for Analyzing of Biometric Application
%J International Journal of Computer Applications
%@ 0975-8887
%V 157
%N 4
%P 10-14
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Edges characterize boundaries and are therefore a problem of fundamental importance in image processing. Image Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection algorithms. In this age of era, different authentication and authorization is required for security perspective. So in this concern for verifying or identify a person in the digital image, features extracted from the digital image are compared with features of the images in the facial database. In this paper, we have been implemented HFDA i.e. Hybrid Face Detection Algorithm using canny filter and LDA approach that enhance figures are found to be better than some of the work reported in literature.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Feature selection LDA PCA Face Data Computer Vision Authentication Canny Edge Filter.