Dense Registration and Mosaicking of Fingerprints by Training an End-to-End Network
Dense Registration and Mosaicking of Fingerprints by Training an End-to-End Network
Dense registration of fingerprints is a challenging task due to elastic skin distortion, low image quality, and self-similarity of ridge pattern. To overcome the limitation of handcraft features, we propose to train an end-to-end network to directly output pixel-wise displacement field between two fingerprints. The proposed network includes a siamese …