A fingerprint sensing apparatus and a fingerprint identification method are provided. An original fingerprint image is obtained by the fingerprint sensor. An image edge block located at an edge of the original fingerprint image is selected. The image edge block is input into a neural network model to generate a predicted extension block. An extended fingerprint image is generated through merging the original fingerprint image with the predicted extension block. A fingerprint application is executed according to the extended fingerprint image.