Structural hidden Markov models for biometrics: fusion of face and fingerprint

Computer Science

• Wavelet Transforms 100%
• Fingerprint Recognition 100%
• Biometrics 100%
• Face Recognition 50%
• Principal Components 50%
• Component Analysis 50%
• Biometric Identification 50%
• Biometric System 50%
• Experimental Result 50%
• Support Vector Machine 50%
• Feature Extraction 50%

Keyphrases

• Hidden Markov Model 100%
• Biometric Fusion 100%
• Discrete Wavelet Transform 50%
• Fingerprint Recognition 50%
• Ridgelet Transform 50%
• Face Recognition 25%
• Feature Modeling 25%
• Dimensionality Reduction 25%
• Support Vector Machine Classifier 25%
• Fingerprint Feature 25%
• Principal Coordinate Analysis (PCoA) 25%
• Feature Extraction Methods 25%
• Biometric Identification 25%
• Classifier Combination 25%
• Face Features 25%
• Fusion Scheme 25%
• Bimodal Biometric System 25%
• Recognition Task 25%