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15 November 2018 Overlapped fingerprint image capture and separation using digital holography and machine learning
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Proceedings Volume 10964, Tenth International Conference on Information Optics and Photonics; 109646N (2018) https://doi.org/10.1117/12.2506945
Event: Tenth International Conference on Information Optics and Photonics (CIOP 2018), 2018, Beijing, China
Abstract
Even now that DNA test has become common, latent fingerprints are still a useful evidence for finding criminals. However, the latent fingerprints are often damaged and overlapped with each other. At present, these overlapped fingerprints are separated manually by a person. It is not only time-consuming task, but also less likely to be adopted as evidence because it is difficult to rule out of the intention of a person. In this paper, non-destructive method to capture and separate overlapped fingerprints using digital holography and machine learning is presented and demonstrated.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jaebum Cho, Byoungho Lee, Dongheon Yoo, and Byounghyo Lee "Overlapped fingerprint image capture and separation using digital holography and machine learning", Proc. SPIE 10964, Tenth International Conference on Information Optics and Photonics, 109646N (15 November 2018); https://doi.org/10.1117/12.2506945
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