Fluorescent nanoparticles (NPs) have been used to develop latent fingerprints with enhanced contrast. However, a method for quantifying the contrast is still lacking, making it impossible to achieve quantitative comparison in the contrast enhancement between different fingerprint developing agents. Here we proposed a new method to quantify the developed contrast using two indexes when fluorescent NPs were used to develop the latent fingerprint. One is the intensity index (I) defined as the ratio between the integrated fluorescence intensities of the signal and background in the fluorescence spectra of the developed fingerprint. Another is the chroma index (C) determined from the color difference between developed fingerprints and their substrates in the chromaticity graph. We defined the developed contrast as the product of the chroma index and the common logarithm of the intensity index (C·lg I), and validated this method using both down- and up-conversion fluorescent NPs and on a variety of different substrates (glass, marble, red paper and money). We showed that the developed contrast quantified by our method effectively reflected the true contrast but the intensity or chroma index alone was not always effective. This work opens up a new avenue to quantifying and enhancing the developed contrast.

01 Jan 2021·Facts and Evidence

Towards Evidence and Fact in Criminal Investigation

Author: Ming Liu

The Chinese translated of professor Twining’s three works on EPF research have been published. They are Analysis of Evidence (Second Edition), Theories of evidence: Bentham and Wigmore, and Rethinking Evidence: Exploratory Essays (Second Edition). In the introduction of Rethinking Evidence, professor Twining mentioned, choice of evidence research came from an interest in “broadening the study of law from within”. In the evidence research, it seems that professor Twining has more preference for the research approach from Bentham and Wigmore. And he devoted himself to the systematic research approach of evidence, proof and fact.

01 Dec 2020·2020 7th International Conference on Information Science and Control Engineering (ICISCE)

A hybrid approach using human posture and contour for gait recognition under body occlusion

Author: Chenghao Wei ; Hao Long ; Yue Ma

This paper presents a hybrid method using a Gaitset network for gait recognition. We firstly use Alphpose model to obtain key points of human posture to improve the extraction of human contour under body occlusion. The human contour map is obtained by pose2Seg model with the key points of human posture. Both human posture and body contour are used as input of the network. By using the hybrid method, it can effectively improve the accuracy and robustness of gait recognition with the upper body information under occlusion. In scenes of human walking under body occlusion, our experimental results show that the accuracy of the proposed method in self-built database can reach 84.6% accuracy.

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