Palm Vein Recognition System Using Hybrid Principal Component Analysis and Artificial Neural Network
Palm vein recognition is one of the most desirable biometric identification techniques. Several researches have been carried out on palm vein which has led to the proposition of different techniques. This research work focuses on palm vein recognition system using Hybrid Principal Component Analysis (PCA) and Self Organizing Map (SOM). The PCA-ANN experiments were considered twice when inputs to ANN were unscaled (raw scale between 0 and 255) and scaled (scale between 0 and 0.9). The performance of the system was evaluated based on different image resolutions, different training datasets, recognition time and recognition accuracy.