查看文章

Fingerprinting is one form of biometrics, a science that can be used for personal identification. It is one of the important techniques and security measures for human authentication across the globe due to its uniqueness and individualistic characteristics. Fingerprints are made up of an arrangement of ridges, called friction ridges. Each ridge consists of pores, that are attached to the glands under the skin. Several algorithms proposed different approaches to recreate fingerprint images. However, these works encountered problems with poor quality and presence of structured noise on these images. In this paper, we present a novel fingerprint system that provides more unique and robust algorithms which are capable to distinguish between individuals effectively. A sparse autoencoder (SAE) algorithm is used to reconstruct fingerprint images. It is an unsupervised deep learning model that replicates its input at the …