Research Article

An Improved Multispectral Palmprint Recognition System Using Autoencoder with Regularized Extreme Learning Machine

Table 4

Comparison of recognition rates for the proposed approach with the state-of-the-art approaches for different spectral bands: blue, green, red, and NIR according to experimental model II.

Method [Ref.]Recognition Rate (%)
BlueGreenRedNIR

NFS [13]95.1092.8795.4095.63
RBF [14]96.7096.5098.2098.40
LBP-HF + Gabor [20]97.7097.4498.2498.57
Proposed Approach10099.9399.9399.70