Photoplethysmography Biometric Recognition Model Based on Sparse Softmax Vector and k-Nearest Neighbor

Table 5

Comparison of recognition rates of one-, two-, and three-layer feature extraction.

Dataset	Classifier	Average recognition rate (%)
		One layer	Two layers	Three layers
BIDMC	k-NN	99.86	99.92	99.95
	RF	94.42	96.61	98.07
	LDC	84.32	96.38	98.96
	NB	82.91	95.35	98.66
MIMIC	k-NN	96.80	96.84	97.21
	RF	86.98	90.40	91.50
	LDC	81.05	91.65	92.62
	NB	93.47	96.57	97.15
CapnoBase	k-NN	99.73	99.78	99.92
	RF	95.52	97.46	97.59
	LDC	89.62	96.95	98.37
	NB	96.95	99.54	99.71