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Wang M, Shen D, Zhu Z, Li M, Yuan C, Zhu Y, Wu J, Mao C. Quantifying contrast of latent fingerprints developed by fluorescent nanomaterials based on spectral analysis. Talanta 2021; 231:122138. [PMID: 33965009 DOI: 10.1016/j.talanta.2021.122138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 01/11/2021] [Accepted: 01/16/2021] [Indexed: 10/22/2022]
Abstract
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.
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Affiliation(s)
- Meng Wang
- Department of Trace Examination, National Police University of China, Shenyang, Liaoning, 110035, PR China; Research Centre of Crime Governance in the New Era, Criminal Investigation Police University of China, Shenyang, Liaoning, 110035, PR China.
| | - Dunpu Shen
- Department of Trace Examination, National Police University of China, Shenyang, Liaoning, 110035, PR China
| | - Zhongxu Zhu
- Department of Trace Examination, National Police University of China, Shenyang, Liaoning, 110035, PR China
| | - Ming Li
- Department of Trace Examination, National Police University of China, Shenyang, Liaoning, 110035, PR China; Research Centre of Crime Governance in the New Era, Criminal Investigation Police University of China, Shenyang, Liaoning, 110035, PR China
| | - Chuanjun Yuan
- Department of Trace Examination, National Police University of China, Shenyang, Liaoning, 110035, PR China; Research Centre of Crime Governance in the New Era, Criminal Investigation Police University of China, Shenyang, Liaoning, 110035, PR China
| | - Ye Zhu
- Department of Chemistry & Biochemistry, Stephenson Life Sciences Research Center, University of Oklahoma, Norman, OK, 73019, USA
| | - Jian Wu
- Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, 315201, PR China.
| | - Chuanbin Mao
- Department of Chemistry & Biochemistry, Stephenson Life Sciences Research Center, University of Oklahoma, Norman, OK, 73019, USA.
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De Alcaraz-Fossoul J, Barrot Feixat C, Tasker J, McGarr L, Stow K, Carreras-Marin C, Turbany Oset J, Gené Badia M. Latent Fingermark Aging Patterns (Part II): Color Contrast Between Ridges and Furrows as One Indicator of Degradation. J Forensic Sci 2016; 61:947-58. [DOI: 10.1111/1556-4029.13099] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2015] [Revised: 10/12/2015] [Accepted: 11/01/2015] [Indexed: 01/24/2023]
Affiliation(s)
- Josep De Alcaraz-Fossoul
- Legal Medicine Unit; Faculty of Medicine; University of Barcelona; C/Casanova 143 08036 Barcelona Catalonia Spain
| | - Carme Barrot Feixat
- Legal Medicine Unit; Faculty of Medicine; University of Barcelona; C/Casanova 143 08036 Barcelona Catalonia Spain
| | - Jack Tasker
- Legal Medicine Unit; Faculty of Medicine; University of Barcelona; C/Casanova 143 08036 Barcelona Catalonia Spain
| | - Luke McGarr
- The Corner House Business Centre; Forensic Focus Ltd.; 2 Albert Road Ripley Derbyshire DE53FZ UK
| | - Karen Stow
- The Corner House Business Centre; Forensic Focus Ltd.; 2 Albert Road Ripley Derbyshire DE53FZ UK
| | - Clara Carreras-Marin
- Legal Medicine Unit; Faculty of Medicine; University of Barcelona; C/Casanova 143 08036 Barcelona Catalonia Spain
| | - Jaume Turbany Oset
- Department of Methodology of the Behavioural Sciences; Faculty of Psychology; University of Barcelona; Passeig de la Vall d'Hebron, 171 08035 Barcelona Spain
| | - Manel Gené Badia
- Legal Medicine Unit; Faculty of Medicine; University of Barcelona; C/Casanova 143 08036 Barcelona Catalonia Spain
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Garcia JE, Wilksch PA, Spring G, Philp P, Dyer A. Characterization of Digital Cameras for Reflected Ultraviolet Photography; Implications for Qualitative and Quantitative Image Analysis During Forensic Examination. J Forensic Sci 2013; 59:117-22. [DOI: 10.1111/1556-4029.12274] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2012] [Revised: 10/12/2012] [Accepted: 10/24/2012] [Indexed: 11/30/2022]
Affiliation(s)
- Jair E. Garcia
- School of Applied Sciences; RMIT University; Building 3 Level 1 Bowen Lane Melbourne Vic. 3001 Australia
| | - Philip A. Wilksch
- School of Applied Sciences; RMIT University; Building 3 Level 1 Bowen Lane Melbourne Vic. 3001 Australia
| | - Gale Spring
- School of Applied Sciences; RMIT University; Building 3 Level 1 Bowen Lane Melbourne Vic. 3001 Australia
| | - Peta Philp
- Deparment of Clinical Photography; Austin Health; 145 Studley Road PO Box 555 Heidelberg Vic. 3084 Australia
| | - Adrian Dyer
- School of Media and Communication; RMIT University; 124 La Trobe Street Melbourne Vic. 3000 Australia
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Matuszewski S, Szafałowicz M. A simple computer-assisted quantification of contrast in a fingerprint. J Forensic Sci 2013; 58:1310-1313. [PMID: 23865940 DOI: 10.1111/1556-4029.12224] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2012] [Revised: 09/06/2012] [Accepted: 09/30/2012] [Indexed: 11/27/2022]
Abstract
A simple method for quantification of contrast in a fingerprint is proposed. Contrast is defined as the average difference in intensity of pixels between valleys and ridges in a fingerprint. It is quantified from a scanner-acquired image of the fingerprint using a histogram function of Adobe Photoshop. The method was validated with black inked prints and marks developed with aluminum powder. Moreover, we tested resistance of the method to rater-dependent errors and dependence of the measurements on the resolution of an image and the model of the scanner. For both groups of fingerprints, the method gave coherent and easily interpretable quantitative values for contrast. There were no significant differences between measurements performed by different raters and by the same rater in a test-retest procedure. However, the method was found to be instrument dependent, as measurements were significantly affected by image resolution and the model of the scanner.
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Affiliation(s)
- Szymon Matuszewski
- Laboratory of Criminalistics, Adam Mickiewicz University, Św. Marcin 90, 61-809, Poznań, Poland
| | - Michał Szafałowicz
- Laboratory of Criminalistics, Adam Mickiewicz University, Św. Marcin 90, 61-809, Poznań, Poland
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