| Titre |
A Face Recognition Approach Based on Nearest Neighbor Interpolation and Local Binary Pattern |
| Auteurs |
Aizan Josky [1],
MOTAMED Cina [3],
|
| Journal: |
12th International Conference on Signal-Image Technology & Internet-Based Systems |
| Catégorie Journal: |
Internationale |
| Impact factor: |
0 |
| Volume Journal: |
1 |
| DOI: |
10.1109/SITIS.2016.21 |
| Resume |
In this paper, we present a novel approachfor face recognition which consists of a dimensionality reduction of face feature vectors. The image scaling is firstly conducted on an input face image. Then we applied the Local Binary Pattern (LBP) operator by dividing the face imageinto non-overlapped regions. LBP histograms are extracted from each region and concatenated into a single one that represents the face image. Nearest neighbor classifier isused to perform recognition with Chi square function asa dissimilarity measure. Simulation experiments are done using the ORL (Olivetti Research Laboratory) databases howing the efficiency of the proposed approach with 97.5%as recognition rate. |
| Mots clés |
Face recognition, Dimensionality reduction, Local Binary Pattern |
| Pages |
76 - 81 |
| Fichier |
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