FinSNet: End-to-End Separation of Overlapped Fingerprints Using Deep Learning
Latent fingerprints found at a crime scene are an important evidence in a criminal investigation. However, latent fingerprints are often damaged by the surface of an object or obscured by other latent fingerprints. Herein, we propose an end-to-end overlapped fingerprint separation method using a dee...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9261449/ |