A biometric authentication model using hand gesture images

Table 1 Classification results of predicting signers’ identities by static hand gesture images

Signer prediction by static gesture
Group	Algorithm	Accuracy %	Kappa	Mean-abs-error	TP Rate	FP Rate	Precision	Recall	F-Measure	ROC Area
Decision Tree	J48	78.125	0.5625	0.2316	0.781	0.219	0.791	0.781	0.779	0.725
	NBTree	90.625	0.8125	0.1216	0.906	0.094	0.908	0.906	0.906	0.973
	RandomForest	87.5	0.75	0.2138	0.875	0.125	0.881	0.875	0.875	0.941
Rule-based	DecisionTable	71.875	0.4375	0.327	0.719	0.281	0.72	0.719	0.718	0.775
	NNge	84.375	0.6875	0.1563	0.844	0.156	0.856	0.844	0.842	0.844
	Association Rules	68.75	0.375	0.3125	0.688	0.313	0.75	0.688	0.667	0.688
Functions	Perceptron	93.75	0.875	0.086	0.938	0.063	0.944	0.938	0.937	0.98
Functions	SVM	87.5	0.75	0.125	0.875	0.125	0.881	0.875	0.875	0.875
Bayes	BayesNet	87.5	0.75	0.1177	0.875	0.125	0.875	0.875	0.875	0.977
	NaiveBayes	87.5	0.75	0.1382	0.875	0.125	0.881	0.875	0.875	0.931

ISSN: 1475-925X