2D and 3D palmprint information, PCA and HMM for an improved person recognition performance

Integrated Computer-Aided Engineering

Volumn 20, Issue 3, 2013, Pages 303-319

  Meraoumia, Abdallah ^a   Chitroub, Salim ^b   Bouridane, Ahmed ^c  

^a KASDI MERBAH UNIVERSITY   (Algeria)

^b UNIVERSITY OF SCIENCES AND TECHNOLOGY HOUARI BOUMEDIENE   (Algeria)

^c NORTHUMBRIA UNIVERSITY   (United Kingdom)

Author keywords

biometrics; data fusion; Discrete Wavelet Transform (DWT); Hidden Markov Model (HMM); Person identification; Principal Component Analysis (PCA); rotation invariant variance measures; security systems

Indexed keywords

ANTHROPOMETRY; BIOMETRICS; DATA FUSION; DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; MARKOV PROCESSES; SECURITY SYSTEMS; VECTORS; WAVELET DECOMPOSITION; WAVELET TRANSFORMS;

FEATURE EXTRACTION LEVELS; IDENTIFICATION ACCURACY; MULTI-MODAL BIOMETRICS; MULTI-SCALE WAVELET DECOMPOSITION; MULTIMODAL BIOMETRIC SYSTEMS; PERSON IDENTIFICATION; PRINCIPAL COMPONENTS; ROTATION INVARIANT;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84878877924     PISSN: 10692509     EISSN: 18758835     Source Type: Journal    
DOI: 10.3233/ICA-130431     Document Type: Conference Paper

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