Citation:
ZHI Xiao-Chen, YUAN Chuan-Jun, LI Ming, ZHENG Yu-Tong, WANG Shou-Zhi, WANG Lu-Ning. Image Enhancement Analysis of Fingerprints on Complex Backgrounds Developed by Diatomaceous Earth-Based Colored Powders[J]. Chinese Journal of Analytical Chemistry,
;2019, 47(2): 281-287.
doi:
10.19756/j.issn.0253-3820.181695
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Fingerprint identification is one of the most reliable methods to identify cognizance in the field of forensic science. It is particular important to investigate the development and enhancement of latent fingerprints on complex backgrounds. In this study, diatomaceous earth-based colored powders were used to develop latent fingerprints on complex backgrounds and image enhancement analyses were performed after development process. Diatomaceous earth after pickling and heat treatment was used as the matrix material. The particle morphology exhibited disc shape with a radius of about 15 μm. Nitrogen adsorption-desorption measurement showed that diatomaceous earth had a BET surface area of 38.7 m2/g, a narrow pore-size distribution centered at 4.5 nm, and a cumulative volume of 0.067 cm3/g. Organic dyes were incorporated into diatomaceous earth based on physical adsorption. Malachite green and crystal violet were chosen because of the similarity in molecular structure but the difference in color. According to the UV-Vis spectra, the standard curves of malachite green and crystal violet were y=0.1336x-0.01304 (R2=0.99945) and y=0.1136x-0.00400 (R2=0.99939) respectively. The adsorption capacity of diatomaceous earth to malachite green and crystal violet was 0.60 and 0.62 mg/g, respectively, and on the basis of this, the diatomaceous earth-based colored powders were prepared. Latent fingerprints on complex backgrounds including food packaging and beverage label were developed by the as-prepared powders. To qualitatively and quantitatively analyze the effect of image enhancement, R, G and B channels in RGB color images of fingerprints captured by a digital camera were extracted by Photoshop, and gray analysis was performed by Image J. The results indicated that the combination of diatomaceous earth-based colored powders and image processing software could effectively avoid background interference and eventually achieve clear fingerprint images.
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