Face Recognition Based on Gppbtf and LBP with Classifier Fusion
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Summary
A novel face recognition approach, where face images are represented by Gabor pixel-pattern-based texture feature (GPPBTF) and local binary pattern (LBP), and null pace-based kernel Fisher discriminant analysis (NKFDA) is applied to the two features independently to obtain two recognition results which are eventually combined together for a final identification.
- Type
- article
- Published
- 2012-06-26
- Cited by
- 0
- References
- 21
- OpenAlex
- https://openalex.org/W2033914206
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1645626
Keywords
Artificial intelligence, Pattern recognition (psychology), Local binary patterns, Facial recognition system, Computer science
References
- Face recognition by elastic bunch graph matching
- Texture representation based on pattern map
- Learning discriminative local binary patterns for face recognition
- A Comparative Study of Local Matching Approach for Face Recognition
- The FERET database and evaluation procedure for face-recognition algorithms
- A comparative study of texture measures with classification based on featured distributions
- Real-time facial expression recognition based on pixel-pattern-based texture feature
- View-based and modular eigenspaces for face recognition
- Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron
- Classifying facial attributes using a 2-D Gabor wavelet representation and discriminant analysis
- Robust Face Recognition via Sparse Representation
- Discriminant analysis for recognition of human face images
- A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition
- Evaluation of Face Resolution for Expression Analysis
- Null space-based kernel Fisher discriminant analysis for face recognition
- Eigenspace-based face recognition: a comparative study of different approaches
- Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition
- The principal components of natural images
- Face recognition by elastic bunch graph matching
- IEEE Transactions on Pattern Analysis and Machine Intelligence
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