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

Jaebum Cho; Byoungho Lee; Dongheon Yoo; Byounghyo Lee

doi:10.1117/12.2506945

15 November 2018 Overlapped fingerprint image capture and separation using digital holography and machine learning

Jaebum Cho, Byoungho Lee, Dongheon Yoo, Byounghyo Lee

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.

Citation Download Citation

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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