A biometric authentication model using hand gesture images

Table 2 Classification results of predicting hand gesture contents by static hand gesture images

Hand sign content prediction by static gesture
Group	Algorithm	Accuracy %	Kappa	Mean-abs-error	TP Rate	FP Rate	Precision	Recall	F-Measure	ROC Area
Decision Tree	J48	56.25	0.4167	0.2221	0.563	0.146	0.576	0.563	0.566	0.752
	NBTree	93.75	0.9167	0.0345	0.938	0.021	0.938	0.938	0.938	0.995
	RandomForest	78.125	0.7083	0.1953	0.781	0.073	0.776	0.781	0.777	0.942
Rule-based	DecisionTable	53.125	0.375	0.2898	0.531	0.156	0.499	0.531	0.49	0.824
	NNge	84.375	0.7917	0.0781	0.844	0.052	0.846	0.844	0.838	0.896
	Association Rules	50.	0.3333	0.25	0.5	0.167	0.333	0.5	0.375	0.667
Functions	Perceptron	93.75	0.9167	0.0538	0.938	0.021	0.95	0.938	0.937	0.964
Functions	SVM	93.75	0.9167	0.0313	0.938	0.021	0.95	0.938	0.937	0.958
Bayes	BayesNet	93.75	0.9167	0.0303	0.938	0.021	0.938	0.938	0.938	0.995
	NaiveBayes	78.125	0.7083	0.1114	0.781	0.073	0.8	0.781	0.776	0.85

ISSN: 1475-925X