Patent ID: 11893773
Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. The non-transitory computer readable storage medium as claimed in claim 15, wherein the computer readable instruction, when executed by the processor, enables the processor to further implement:
before inputting the target finger vein image to be compared into the feature extractor, obtaining a finger vein sample to be trained;
inputting the finger vein sample to be trained into the two-channel convolutional neural network for a training process, and using an enhanced edge cosine loss function to calculate a loss value generated in the training process, wherein the two-channel convolutional neural network comprises four convolution layers, four pooling layers, and one fully connected layer, wherein the first layer, the third layer, the fifth layer, and the seventh layer of the two-channel convolutional neural network are the convolution layers, wherein the second layer, the fourth layer, the sixth layer, and the eighth layer are the pooling layers, and wherein the ninth layer is the fully connected layer; and
updating the two-channel convolutional neural network according to the loss value to obtain the feature extractor.