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A preliminary study and its application for the development of the quantitative evaluation method of developed fingerprints on porous surfaces using densitometric image analysis
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  • Journal title : Analytical Science and Technology
  • Volume 29, Issue 3,  2016, pp.142-153
  • Publisher : The Korean Society of Analytical Science
  • DOI : 10.5806/AST.2016.29.3.142
 Title & Authors
A preliminary study and its application for the development of the quantitative evaluation method of developed fingerprints on porous surfaces using densitometric image analysis
Cho, Jae-Hyun; Kim, Hyo-Won; Kim, Min-Sun; Choi, Sung-Woon;
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 Abstract
In crime scene investigation, fingerprint identification is regarded to be one of the most important techniques for personal identification. However, objective and unbiased evaluation methods that would compare the fingerprints with diverse available and developing methods are currently lacking. To develop an objective and quantitative method to improve fingerprint evaluation, a preliminary study was performed to extract useful research information from the analysis with densitometric image analysis (CP Atlas 2.0) and the Automated Fingerprint Identification System (AFIS) for the developed fingerprints on porous surfaces. First, inked fingerprints obtained by varying pressure (kg.f) and pressing time (sec.) to find optimal conditions for obtaining fingerprint samples were analyzed, because they could provide fingerprints of a relatively uniform quality. The extracted number of minutiae from the analysis with AFIS was compared with the calculated areas of friction ridge peaks from the image analysis. Inked fingerprints with a pressing pressure of 1.0 kg.f for 5 seconds provided the most visually clear fingerprints, the highest number of minutiae points, and the largest average area of the peaks of the friction ridge. In addition, the images of the developed latent fingerprints on thermal paper with the iodine fuming method were analyzed. Fingerprinting condition of 1.0 kg.f/5 sec was also found to be optimal when generating highest minutiae number and the largest average area of peaks of ridges. Additionally, when the concentration of ninhydrin solution (0.5 % vs. 5 %) was used to compare the developed latent fingerprints on print paper, the best fingerprinting condition was 2.0 kg.f/5 sec and 5 % of ninhydrin concentration. It was confirmed that the larger the average area of the peaks generated by the image analysis, the higher the number of minutiae points was found. With additional tests for fingerprint evaluation using the densitometric image analysis, this method can prove to be a new quantitative and objective assessment method for fingerprint development.
 Keywords
latent fingerprint;fingerprint evaluation;densitometric image analysis;AFIS;
 Language
Korean
 Cited by
 References
1.
P. R. De Forest, R. E. Gaensslen and H. C. Lee, ‘Forensic science: an introduction to criminalistics’, McGraw-Hil, New York, USA, 1983.

2.
S. H. James, J. J. Nordby and S. Bel, In ‘Forensic Science’, 3rd Ed., p303-326, CRC Press, USA, 2014.

3.
S. H. James, J. J. Nordby and S. Bel, In ‘Forensic Science’, 3rd Ed., p355-375, CRC Press, USA, 2014.

4.
S. L. Zabell, JL & Pol’y., 13(143), 143-179 (2005).

5.
H. L. Bandey and A. P. Gibson (2006), The powders process, study 2: Evaluation of fingerprint powders on smooth surfaces. HOSDB Fingerprint Development and Imaging Newsletter 08/06: 7.

6.
J. W. Bond, J. Forensic Sci., 59(2), 485-489 (2014). crossref(new window)

7.
R. Bansal, P. Sehgal and P. Bedi, Int. J. of Computer Sci., 8(5), 74-85 (2011).

8.
S. Jovanovic, M. Barac, O. Macej, T. Vucic and C Lacnjevac, Sensors, 7(3), 371-383 (2007). crossref(new window)

9.
J. H. Cho, 'A Preliminary Study for the Development of the Quantitative Evaluation Method of Developed Fingerprints Using Densitometric Image Analysis and its Application', Master's thesis, Chungnam National University, Daejeon, 2016.

10.
O. P. Jasuja and G. Singh, Forensic Sci. Int., 192(1), e11-e16 (2009). crossref(new window)

11.
P. F. Kelly, R. S. P. King, S. M. Bleay and T. O. Daniel, Forensic Sci. Int., 217(1), e27-e30 (2012). crossref(new window)

12.
J. S. Yu, J. S. Jung, S. Lim and S. W. Park, Anal. Sci. Technol., 25(3), 164-170 (2012). crossref(new window)

13.
O. P. Jasuja, M. A. Toofany, G. Singh and G. S. Sodhi, Sci. Justice, 49(1), 8-11 (2009). crossref(new window)

14.
M. K. Kim, S. W. Park and Y. Ohgami, Anal. Sci. Technol., 22(2), 166-171 (2009).

15.
H. C. Lee and R. E. Gaensslen, ‘Advances in Fingerprint Technology’, 2nd Ed., 105-176, CRC Press, USA, 2001.

16.
Y. S. Kim and S. W. Choi, Korean J. Sci. Crim. Invest., 7(4), 272-278 (2013).

17.
J. Almog, A. Hirshfeld and J. T. Klug, J. Forensic Sci., 27(4), 912-917 (1982).