A Feature Extraction Method based on Local Binary Pattern Preprocessing and Wavelet Transform
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Summary
The proposed feature extraction method outperforms several popular face recognition methods, and the preprocessing step plays an important role to extract effective features for classification.
- Type
- article
- Published
- 2020-12-15
- Cited by
- 5
- References
- 37
- OpenAlex
- https://openalex.org/W3003836766
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:214417997
Keywords
Artificial intelligence, Pattern recognition (psychology), Local binary patterns, Feature extraction, Computer science
References
- Face recognition: A literature survey
- Variable lighting face recognition using discrete wavelet transform
- Non-uniform patch based face recognition via 2D-DWT
- The CMU Pose, Illumination, and Expression Database
- Face recognition based on pixel-level and feature-level fusion of the top-level's wavelet sub-bands
- A comparative study of texture measures with classification based on featured distributions
- Face Recognition using Threshold Based DWT Feature Extraction and Selective Illumination Enhancement Technique
- Face recognition using fuzzy Integral and wavelet decomposition method
- Variational Feature Representation-based Classification for face recognition with single sample per person
- Face Recognition by Exploring Information Jointly in Space, Scale and Orientation
- Feature extraction using Radon and wavelet transforms with application to face recognition
- Local Binary Patterns and Its Application to Facial Image Analysis: A Survey
- From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
- Acquiring linear subspaces for face recognition under variable lighting
- Robust Face Recognition via Sparse Representation
- Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
- Face Description with Local Binary Patterns: Application to Face Recognition
- Extended local binary patterns for face recognition
- A Customized Sparse Representation Model With Mixed Norm for Undersampled Face Recognition
- Gabor-scale binary pattern for face recognition
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- Covid‐19 detection from radiographs by feature‐reinforced ensemble learning
- A novel hybrid biometric software application for facial recognition considering uncontrollable environmental conditions
- An adaptive gravitational search optimization (AGSO)‐based convolutional neural network—long short‐term memory (CNN‐LSTM) approach for face recognition and classification
- Design and Validation of the Novel Perso-Arabic Database in Shahmukhi Punjabi Script
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