Paper
24 November 2021 Fingerprint segmentation of UV induced fluorescence image using fuzzy enhancement
Jingwei Zhang, Lihua Huang, Liqing Ling, Huijie Huang
Author Affiliations +
Proceedings Volume 12065, AOPC 2021: Optical Sensing and Imaging Technology; 1206531 (2021) https://doi.org/10.1117/12.2606797
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China
Abstract
Fingerprints, a kind of reliable and accessible biological characteristic for individual identification, are commonly used on many occasions such as the mobile phone unlocking and criminal investigation. In this paper, a method based on fuzzy enhancement is proposed to segment fluorescence images of invisible fingerprints which are induced by ultraviolet laser on porous paper substrates. With the purpose of achieving the segmentation of latent fingerprints, the fuzzy enhancement and morphological operators are employed to extract the minutia while the ridge structures and valley structures are ruined by intensive background noises. In combination with the directional image, the method proposed could effectively remove the noises and obtain clear visible minutia simultaneously. The effectiveness of the method proposed shows great promise for further analysis of latent fingerprints and even in criminal investigation.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingwei Zhang, Lihua Huang, Liqing Ling, and Huijie Huang "Fingerprint segmentation of UV induced fluorescence image using fuzzy enhancement", Proc. SPIE 12065, AOPC 2021: Optical Sensing and Imaging Technology, 1206531 (24 November 2021); https://doi.org/10.1117/12.2606797
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KEYWORDS
Image segmentation

Optoelectronics

UV optics

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