Since 2014
Comparison of Different Face Recognition Method Based On PCA
International Journal of Management and Information Technology
View Archive Info| Field | Value | |
| Title |
Comparison of Different Face Recognition Method Based On PCA
|
|
| Creator |
Saha, Rajib
Bhattacharjee, Debotosh Barman, Sayan |
|
| Subject |
Computer Science & Engineering
Eigenfaces, Eigenvector, Eigenvalue , PCA, Multiview, Euclidean distance, Chebychev distance, Manhattan distance |
|
| Description |
This paper is about human face recognition in image files. Face recognition involves matching a given image with the database of images and identifying the image that it resembles the most. Here, face recognition is done using:(a) Eigen faces and(b) applying Principal Component Analysis (PCA) on image.The aim is to successfully demonstrate the human face recognition using Principal component analysis & comparison of Manhattan distance, Eucleadian distance & Chebychev distance for face matching.
|
|
| Publisher |
CIRWORLD
|
|
| Date |
2015-06-30
|
|
| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article Face Recognition Based On PCA |
|
| Format |
application/pdf
|
|
| Identifier |
https://cirworld.com/index.php/ijmit/article/view/626
|
|
| Source |
INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY; Vol 10 No 4; 2016-2022
2278-5612 |
|
| Language |
eng
|
|
| Relation |
https://cirworld.com/index.php/ijmit/article/view/626/612
|
|
| Rights |
Copyright (c) 2014 INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY
http://creativecommons.org/licenses/by/4.0 |
|