Fusion of Minutia Cylinder Codes and Minutia Patch Embeddings for Latent Fingerprint Recognition

arXiv:2403.16172v1 Announce Type: new
Abstract: Latent fingerprints are one of the most widely used forensic evidence by law enforcement agencies. However, latent recognition performance is far from the exemplary performance of sensor fingerprint recognition due to deformations and artifacts within these images. In this study, we propose a fusion based local matching approach towards latent fingerprint recognition. Recent latent recognition studies typically relied on local descriptor generation methods, in which either handcrafted minutiae features or deep neural network features are …

abstract arxiv cs.cv embeddings evidence exemplary fingerprints fusion however images law law enforcement performance recognition sensor study type