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Overlapped fingerprint image capture and separation using digital holography and machine learning
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Paper 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.

Paper Details

Date Published: 15 November 2018
PDF: 4 pages
Proc. SPIE 10964, Tenth International Conference on Information Optics and Photonics, 109646N (15 November 2018); doi: 10.1117/12.2506945
Show Author Affiliations
Jaebum Cho, Seoul National Univ. (Korea, Republic of)
Byoungho Lee, Seoul National Univ. (Korea, Republic of)
Dongheon Yoo, Seoul National Univ. (Korea, Republic of)
Byounghyo Lee, Seoul National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 10964:
Tenth International Conference on Information Optics and Photonics
Yue Yang, Editor(s)

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