Face and palmprint pixel level fusion and kernel DCV-RBF classifier for small sample biometric recognition

DOI10.1016/j.patcog.2007.01.034zbMath1123.68361OpenAlexW2065542602WikidataQ57811010 ScholiaQ57811010MaRDI QIDQ2643909

Miao Li, Yong-Fang Yao, Xiao-Yuan Jing, David Zhang, Jing-Yu Yang

Publication date: 27 August 2007

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.01.034

zbMATH Keywords

Gabor transformkernel discriminative common vectorspixel level fusionface and palmprintKDCV-RBF classifiermulti-modal biometricradial base function networksmall sample biometric recognition

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (6)

A feature extraction method for use with bimodal biometrics ⋮ Design of Radial Basis Function Classifier Based on Polynomial Neural Networks ⋮ Designing efficient fusion schemes for multimodal biometric systems using face and palmprint ⋮ Optimal subset-division based discrimination and its kernelization for face and palmprint recognition ⋮ Multimodal biometrics using geometry preserving projections ⋮ Palmprint identification using restricted fusion

Uses Software

• UODV
• FERET
• AR face

Cites Work

• Unnamed Item
• Networks and the best approximation property
• Face recognition approach based on rank correlation of Gabor-filtered images
• Decision-level fusion in fingerprint verification
• Improvements on the uncorrelated optimal discriminant vectors.
• UODV: Improved algorithm and generalized theory.
• Uncorrelated discriminant vectors using a kernel method
• A direct LDA algorithm for high-dimensional data -- with application to face recognition

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