# Toward Personal Identification Using Multi-Angle-Captured Ear Images: A Feasibility Study
## 4 Distributions of the Training and Testing Data
\begin{tabular}{l l} LBP & Local binary patterns \\ CNN & Convolutional neural network \\ LSTM & Long short-term memory \\ Grad-CAM & Gradient-weighted Class Activation Mapping \\ ReLU & Rectified linear unit \\ CCE & Categorical cross entropy \\ E & Ear position \\ H & High position \\ L & Low position \\ \end{tabular} 

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