OCT fingerprint section image authenticity detection method based on reconstruction difference

The invention discloses an OCT fingerprint section image authenticity detection method based on reconstruction difference, and the method comprises the steps: S1, constructing a full convolutional neural network model which comprises an encoder, a generator and a feature extractor; s2, collecting images collected by an OCT system, and after preprocessing is completed, randomly selecting 70% of positive sample images as training data; selecting the other 30% of positive sample images and negative sample images, and taking the images as test data after quantity equalization; s3, training a network model; selecting the divided training image as input data, and setting a loss function for optimizing an encoder and a generator; setting comparison loss for optimizing the feature extractor; performing multi-round training on the established network model, updating and optimizing model weight parameters through back propagation until a loss function tends to converge, and stopping training; s4, testing the network mo