Single Sample Face Recognition Based on DCT and Local Gabor Binary Pattern Histogram

Zhihua Xie

doi:10.1007/978-3-642-39479-9_52

ScienceGate Book Chapters

BOOK-CHAPTER

Single Sample Face Recognition Based on DCT and Local Gabor Binary Pattern Histogram

Zhihua Xie

Year: 2013 Lecture notes in computer science Pages: 435-442 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-39479-9_52

Get Full-Text PDF Get Analytical Report

Keywords:

Pattern recognition (psychology) Artificial intelligence Discrete cosine transform Computer science Facial recognition system Local binary patterns Histogram Linear discriminant analysis Face (sociological concept) Subspace topology Generalizability theory Computer vision Mathematics Image (mathematics) Statistics

Metrics

Cited By

2.40

FWCI (Field Weighted Citation Impact)

Refs

0.87

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Video Stabilization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Single Sample Face Recognition Based on DCT and Local Gabor Binary Pattern Histogram

Metrics

Citation History

Topics

Related Documents

An effective preprocessing scheme for face recognition based on local Gabor binary pattern histogram sequence

Face Recognition based on Accelerated Joint Boosting and Illumination Normalized Local Gabor Binary Pattern Histogram Sequence

Single Sample Face Recognition Based on Global Local Binary Pattern Feature Extraction

Gabor volume based local binary pattern for face representation and recognition

Facial family similarity recognition using Local Gabor Binary Pattern Histogram Sequence