2010 · 11 citations · 8 references
ComputingComputer EngineeringComputer ScienceComputer VisionFeature EngineeringMachine LearningCode MappingCoding TheoryData CodingDimensionality ReductionPattern RecognitionBiometric Feature ExtractionCoding Scheme DesignContinuous Space RepresentationDiscretizationLinear Codes
Separability in a code is crucial for guaranteeing a decent separation between multiple classes in terms of Hamming distance. In biometric discretization, this property is of particular useful for preserving dissimilarity in the continuous feature space when a feature is mapped to a code space. Binary Reflected Gray Code (BRGC), a widely employed output label in discretization schemes, however, does not appear to exhibit such a property, yielding an indefinite mapping process that impedes the overall recognition performance. This paper explores and analyzes the separability of BRGC and put forward a class of coding scheme which exhibits high separability capacity.
8
Matthew Turk, Alex Pentland · Journal of Cognitive Neuroscience · 1991 · 13.8K citations · Full text
Multi-Bits Biometric String Generation based on the Likelihood Ratio
C. Chen, Raymond Veldhuis, T.A.M. Kevenaar et al. · 2007 · 57 citations · Full text