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Journal of Electrical and Computer Engineering
/
2020
/
Article
/
Tab 6
/
Research Article
Photoplethysmography Biometric Recognition Model Based on Sparse Softmax Vector and
k
-Nearest Neighbor
Table 6
Comparison of the proposed method and state-of-the-art methods on the CapnoBase dataset.
Method
Matching
Accuracy (%)
EER (%)
[
10
]
k
-NN
99.84
1.31
[
13
]
RF
99.00
—
[
8
]
Manhattan and Euclidean distances
—
1.00
Proposed
k
-NN
99.92
—