@article{916161,
      recid = {916161},
      author = {Stojanović, Branka, and Marques, Oge, and Nešković,  Aleksandar,},
      title = {Segmentation and separation of overlapped latent  fingerprints : algorithms, techniques, and datasets /},
      pages = {1 online resource :},
      abstract = {This Springerbrief presents an overview of problems and  technologies behind segmentation and separation of  overlapped latent fingerprints, which are two fundamental  steps in the context of fingerprint matching systems. It  addresses five main aspects: (1) the need for overlapped  latent fingerprint segmentation and separation in the  context of fingerprint verification systems; (2) the  different datasets available for research on overlapped  latent fingerprints; (3) selected algorithms and techniques  for segmentation of overlapped latent fingerprints; (4)  selected algorithms and techniques for separation of  overlapped latent fingerprints; and (5) the use of deep  learning techniques for segmentation and separation of  overlapped latent fingerprints. By offering a structured  overview of the most important approaches currently  available, putting them in perspective, and suggesting  numerous resources for further exploration, this book gives  its readers a clear path for learning new topics and  engaging in related research. Written from a technical  perspective, and yet using language and terminology  accessible to non-experts, it describes the technologies,  introduces relevant datasets, highlights the most important  research results in each area, and outlines the most  challenging open research questions. This Springerbrief  targets researchers, professionals and advanced-level  students studying and working in computer science, who are  interested in the field of fingerprint matching and  biometrics. Readers who want to deepen their understanding  of specific topics will find more than one hundred  references to additional sources of related information.},
      url = {http://library.usi.edu/record/916161},
      doi = {https://doi.org/10.1007/978-3-030-23364-8,  https://doi.org/10.1007/978-3-030-23},
}