Open Access
Subscription Access
Application of Hertzberg Stain in the Identification and Differentiation of Polyvinyl Acetate-based Forged Fingerprints
Criminals generally try to mislead investigators by using forged fingerprints to conceal their identity. Forged fingerprints developed using artificial sweat make the task of establishing their true identity difficult. The present study was conducted to analyse the efficacy of the Hertzberg stain technique for detecting and differentiating polyvinyl acetate-based forged fingerprints. The utility of the Hertzberg stain was analysed for forged fingerprint detection in combination with conventional methods on porous and non-porous surfaces. The results indicate that the Hertzberg stain technique effectively differentiates real and forged fingerprints.
Keywords
Criminals, Forensic Science, Real and Forged Fingerprints, Polyvinyl Acetate, Software Analysis
User
Font Size
Information
- Harmon, R., Admissibility standards for scientific evidence. In Microbial Forensics (eds Roger, G. et al.), Academic Press, 2005, pp. 381–392.
- Mohan, V. and Miller, J. B., Anti-spoof detection for in-screen fingerprint sensors, 2019.
- Matsumoto, T., Matsumoto, H., Yamada, K. and Hoshino, S., Impact of artificial ‘gummy’ fingers on fingerprint systems. In Proc.
- SPIE4677, Optical Security and Counterfeit Deterrence Techniques IV, 2002, pp. 275–289; https://doi.org/10.1117/12.462719.
- Champod, C. and Espinoza, M., Forgeries of fingerprints in forensic science. Adv. Comput. Vis. Pattern Recogn., 2014.
- Geller, B., Almog, J., Margot, P. and Springer, E., A chronological review of fingerprint forgery. J. Forensic Sci., 1999, 44(5), 963– 968.
- Choudhari, A., Government to keep check on location of college biometric machines. The Times of India, 2018 (accessed on 8 December 2018).
- Saldanha, A., From cheating banks to faking identity, Aadhaar frauds peak in 2018, report. Business Standard, Mumbai, 2018 (accessed on 20 January 2019).
- Somanchi, A., Aadhaar fraud is not only real, but is worth more closely examining. The Wire, 2018, p. 1.
- Saharan, S., Yadav, A. K. and Yadav, B., Novel C stain-based chemical method for differentiating real and forged fingerprints.
- Egypt. J. Forensic Sci., 2020, 10, 1–8.
- Lee, H. and Gaensslen, R., Methods of latent fingerprint development, 2010.
- Patel, R. and Ramalingam, S., Advances in fingerprint technology.
- In Biometric-Based Physical and Cybersecurity Systems (eds Obaidat, M., Traore, I. and Woungang, I.), Springer Cham, 2019, pp. 13–36; https://doi.org/10.1007/978-3-319-98734-72.
- Lennard, C., Fingerprint detection: current capabilities. Aust. J. Forensic Sci., 2007, 39(2), 55–71.
- CSIpix Matcher. Software minutiae Detection of Fingerprints; https://csipix.com/products/csipix-matcher/
- Lee, H. C. and Gaensslen, R. E. (eds), Methods of latent fingerprint development. In Advances in Fingerprint Technology, CRC Press, 2001, pp. 105–176.
- Marcel, S., Nixon, M. S. and Li, S. Z., Handbook of Biometric Anti-Spoofing-Trusted Biometrics under Spoofing Attacks. Adv. Comput. Vis. Pattern Recognition, Springer, Switzerland AG, 2014.
- Jeoune, D.-S., Han, C.-M., Ryoo, Y.-K., Sa, J. H., Cha, S. and Kim, W. H., Minutiae-based matching scheme for fingerprint identification using the grassfire spot matching. Int. J. Appl. Eng. Res., 2017, 12, 1935–1942.
- Maltoni, D., Maio, D., Jain, A. K. and Prabhakar, S., Handbook of Fingerprint Recognition, Springer-Verlag, New York, USA, 2003.
Abstract Views: 407
PDF Views: 149