Research on latent fingerprint ultraviolet polarization imaging detection technology

Rong Jia; Feng Wang; Zhangkun Yin; Sunchen Wang; Yunzhi Wu

doi:10.1117/12.2552986

31 January 2020 Research on latent fingerprint ultraviolet polarization imaging detection technology

Rong Jia, Feng Wang, Zhangkun Yin, Sunchen Wang, Yunzhi Wu

Proceedings Volume 11427, Second Target Recognition and Artificial Intelligence Summit Forum; 114273B (2020) https://doi.org/10.1117/12.2552986
Event: Second Target Recognition and Artificial Intelligence Summit Forum, 2019, Changchun, China

Abstract

Latent fingerprint is an important material evidence in criminal cases, and the appearance of latent fingerprint is one of the key problems of physical evidence testing technology. Polarization imaging detection technology can realize non-destructive detection of latent fingerprint. This paper introduces the basic principle of UV polarization imaging detection, designs the UV polarization imaging detection system, and carries out UV polarization imaging experiments on four types of latent fingerprints such as perspiration fingerprint, oil stain fingerprint, blood stain fingerprint and gray stain fingerprint, and obtains effective experiment. The UV polarization characteristics of latent fingerprints are analyzed and the polarization information adaptive selection fusion algorithm is proposed by using the difference and complementarity of different polarization parameters. The results show that the non-destructive detection of latent fingerprints is effectively realized by UV polarization imaging detection technology. Compared with general intensity images, the contrast of polarized images is obviously improved, and the details are richer. It has practical value and research on nondestructive detection of latent fingerprints. significance.

Citation Download Citation

Rong Jia, Feng Wang, Zhangkun Yin, Sunchen Wang, and Yunzhi Wu "Research on latent fingerprint ultraviolet polarization imaging detection technology", Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114273B (31 January 2020); https://doi.org/10.1117/12.2552986

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