Computer Science – Computer Vision and Pattern Recognition
Scientist
Computer Science
Computer Vision and Pattern Recognition
Scientist
Ear Identification by Fusion of Segmented Slice Regions using Invariant Features: An Experimental Manifold with Dual Fusion Approach
Face Recognition by Fusion of Local and Global Matching Scores using DS Theory: An Evaluation with Uni-classifier and Multi-classifier Paradigm
Feature Level Fusion of Biometrics Cues: Human Identification with Doddingtons Caricature
Feature Level Fusion of Face and Palmprint Biometrics by Isomorphic Graph-based Improved K-Medoids Partitioning
Fusion of Multiple Matchers using SVM for Offline Signature Identification
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