JOURNAL ARTICLE

Robust Content based Image Retrieval System for Face Recognitionfv

Abstract

many types of biometric systems are used for different purposes. Face recognition is considered the most effective biometric system due to the fact that it requires the least amount of human interaction. This attracted many researchers to pay a lot of attention to the field of face recognition and its applications. One of the approaches used in face recognition systems is using Content-Based Image Retrieval (CBIR). As its name implies, CBIR uses the actual visual contents of an image to retrieve similar images from a database or a set of images. The visual contents of images are described with features obtained using various feature extraction techniques.

Keywords:
Computer science Content-based image retrieval Artificial intelligence Face (sociological concept) Feature extraction Facial recognition system Image retrieval Biometrics Computer vision Feature (linguistics) Pattern recognition (psychology) Set (abstract data type) Field (mathematics) Three-dimensional face recognition Image (mathematics) Information retrieval Face detection Mathematics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
23
Refs
0.09
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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