GET THE APP

A Novel Technique for Retrieving Fingerprint on Curved Objects
..

Journal of Forensic Medicine

ISSN: 2472-1026

Open Access

Brief Report - (2022) Volume 7, Issue 1

A Novel Technique for Retrieving Fingerprint on Curved Objects

Suchitra Srinivas*
*Correspondence: Suchitra Srinivas, Department of Forensic Medicine, Osmania University, Hyderabad, Telangana, India, Email:
Department of Forensic Medicine, Osmania University, Hyderabad, Telangana, India

Received: 06-Jan-2022, Manuscript No. JFM-22-52908; Editor assigned: 10-Jan-2022, Pre QC No. P-52908; Reviewed: 14-Jan-2022, QC No. Q-52908; Revised: 20-Jan-2022, Manuscript No. R-52908; Published: 25-Jan-2022
Citation: Srinivas, Suchitra. “A Novel Technique for Retrieving Fingerprint on Curved Objects.” J Forensic Med 7 (2022): 158. DOI: 10.37421/jfm.2022.7.158
Copyright: © 2022 Srinivas S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Brief Report

Researchers have fostered a new technique for recovering high resolution images of fingermarks from curved articles like bullet casings that offers more significant subtlety and precision than conventional forensic strategies. Researchers from the University of Nottingham fostered a rotation stage to permit specialists and forensic experts to perform highly sensitive, nondamaging Time-of-Flight Secondary Ion Mass Spectroscopy (ToF-SIMS) estimations and foster high resolution finger impression images on surfaces that regular unique mark imaging neglects to get up by any stretch of the imagination. The rotational stage that they have created opens up additional opportunities for the recovery of high-resolution fingerprints from the entire surface area of testing shapes and materials like metal bullet casings.

Recovery of fingermark proof from bullet casings is an area of significant trouble for forensic researchers. While both fired and unfired casings can frequently be found at the location of vicious crimes, recovering fingermarks and connecting the individual that stacked the firearm to the crime has reliably shown to be troublesome in view of the states of being that are capable by the projectile housings during shooting and procedures that are utilized to create and picture the fingermarks. At the casing point when a bullet is fired, the packaging encounters high temperatures, pressures and enormous erosion powers inside the barrel of the firearm. They can likewise be covered by the deposits of charge and the powder that are utilized to create the response that powers the bullet out of the chamber. These consolidated impacts frequently bring about the expulsion, dissipation or corruption of the more unpredictable parts of fingermark buildup, (for example, water, amino acids and low subatomic weight organics like lipids), just as potential smirching or clouding the imprint. These elements can make it hard for ordinary techniques for fingermark recovery, for example, cyanoacrylate smoldering and fluorescent staining ways to deal with work.

ToF-SIMS is a delicate surface-investigation procedure that gives extremely itemized data about the areas of various substance species on a surface. The procedure utilizes high-energy light emissions particles guided at the example's surface to liberate auxiliary particles from any material that they slam into. These particles are then sped up into a time of-flight analyzer and isolated by their mass-to-charge proportion, creating a range that is characteristic of the sample's substance organization. Pictures created utilizing ToF-SIMS were displayed to show proof of grating edge and sweat pore level detail on examples where fingermarks were not noticeable when created utilizing an ordinary method including cyanoacrylate and the color Basic Yellow 40.

Tests were performed over a time of seven months to decide how fingermarks kept on the outer layer of Webley MkII pistol adjusts change over the long haul. The ToF-SIMS strategy is additionally non-disastrous and no proof of image debasement was seen over this period, in any event, when tests were more than once presented to UHV conditions. Researcher has been developed this new procedure for a very long time and said: "It's truly energizing to be making this examination a stride further by adding the rotational stage. We previously demonstrated in our past examination that ToF-SIMS imaging gives significantly more precise and itemized unique finger impression pictures on various sorts of surface. This new rotational ability permits us to image in significantly more detail and over entire surface areas of troublesome materials and shapes while keeping the proof flawless [1-9]. This could truly prepare for another dependable method for dissecting proof, recognize people of interest and connection them to the ammunition in a gun."

References

  1. Charles J, Lee., David J Scurr, Long Jiang, and Andrew Kenton, et al. “Imaging mass spectrometry of fingermarks on brass bullet casings using sample rotation.” The Analyst, 2021.
  2. Google Scholar, Crossref

  3. Cappelli, R., Ferrara M, and Maltoni D. "Minutia Cylinder-Code: A New Representation and Matching Technique for Fingerprint Recognition", IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(2010):2128-2141.
  4. Google Scholar, Crossref

  5. Cappelli, R., Ferrara M, and Maltoni D. "Fingerprint Indexing Based on Minutia Cylinder Code", IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(2011):1051-1057.
  6. Google Scholar

  7. Ferrara, M., Maltoni D, and Cappelli R. "Noninvertible Minutia Cylinder-Code Representation", IEEE Transactions on Information Forensics and Security, 7(2012):1727-1737.
  8. Google Scholar

  9. Ferrara, M., Maltoni D, and Cappelli, R. "A Two-Factor Protection Scheme for MCC Fingerprint Templates", Proceedings International Conference of the Biometrics Special Interest Group (BIOSIG). 2014.
  10. Google Scholar

  11. http://math.stackexchange.com.
  12. Google Scholar

  13. http://www.neurotechnology.com/verifinger.html.
  14. Google Scholar

  15. http://www.nist.gov/itl/iad/ig/bio-quality.cfm.
  16. Google Scholar

  17. http://biolab.csr.unibo.it/research.asp?organize=Activities.
  18. Google Scholar

arrow_upward arrow_upward