Namespace SigStat.Common.PipelineItems.Classifiers

Classes

DtwClassifier

Classifies Signatures with the DTW algorithm.

DtwSignerModel

Represents a trained model for DtwClassifier

NearestNeighborEerClassifier

This IDistanceClassifier implementation will consider both test and training samples and claculate the threshold to separate the original and forged signatures to approximate EER. Note that this classifier is not applicable for real world scenarios. It was developed to test the theoratical boundaries of threshold based classification

NearestNeighborEerClassifier.SignerModel

Represents a trained model for NearestNeighborEerClassifier

OneClassNearestNeighborClassifier

This IDistanceClassifier implementation will consider both test and training samples and claculate the threshold to separate the original and forged signatures to approximate EER. Note that this classifier is not applicable for real world scenarios. It was developed to test the theoratical boundaries of threshold based classification

OneClassNearestNeighborClassifier.SignerModel

Represents a trained model for OneClassNearestNeighborClassifier

OptimalDtwClassifier

This IDistanceClassifier implementation will consider both test and training samples and claculate the threshold to separate the original and forged signatures to approximate EER. Note that this classifier is not applicable for real world scenarios. It was developed to test the theoratical boundaries of threshold based classification

OptimalDtwClassifier.OptimalDtwSignerModel

Represents a trained model for OptimalDtwClassifier

WeightedClassifier

Classifies Signatures by weighing other Classifier results.