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Segmentation and Separation of Overlapped Latent Fingerprints: Algorithms, Techniques, and Datasets

Segmentation and Separation of Overlapped Latent Fingerprints: Algorithms, Techniques, and Datasets

Paperback

Series: Springerbriefs in Computer Science

General Computers

ISBN10: 3030233634
ISBN13: 9783030233631
Publisher: Springer Nature
Published: Nov 8 2019
Pages: 51
Weight: 0.23
Height: 0.13 Width: 6.14 Depth: 9.21
Language: English
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.

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General Computers