Abstract
Earprints are left marks when the ear is pressed against a wall or door. They are sometimes found at crime scenes, and there are some actual criminal cases in which earprints are used to identify criminals. Earprints are still being researched to find out how to use them. Among them, it has been reported that the earprint is deformed by pressing force, but the conventional study of earprint recognition does not consider the pressing force. In the existing earprint collection system based on the cooperation of the suspect, the criminal can reduce the similarity by pressing the ear with a force different from the original force. Then, our research group has developed a device that continuously acquire earprints by using acrylic blocks and a high-speed camera. In addition, a load cell is installed on the back of the acrylic block, so it is possible to get earprint images corresponding the pressing force of the ear. In this study, we obtained earprints from 10 participants by using the device we developed and verified the accuracy of authentication. As a result of an accuracy evaluation experiment, it was suggested that it is possible to identify person even in the earprints acquired using this device.
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References
Bertillon, A.: Signaletic Instructions: Including the Theory and Practice of Anthropometrical Identification. The Werner Company, Chicago (1896). R.W. McClaughry translation
Iannarelli, A.: Ear Identification, Forensic Identification Series. Paramount Publishing Company, Fremont (1989)
Rutty, G.N., Abbas, A., Crossling, D.: Could earprint identification be computerized? An illustrated proof of concept paper. Int. J. Legal Med. 119(6), 335–343 (2005)
Meijerman, L., Thean, A., Maat, G.: Earprints in forensic investigations. Forensic Sci. Med. Pathol. 1(4), 247–256 (2005)
Alberink, I., Ruifrok, A.: Performance of the FearID earprint identification system. Forensic Sci. Int. 166(2–3), 145–154 (2007)
Junod, S., Pasquier, J., Champod, C.: The development of an automatic recognition system for earmark and earprint comparisons. Forensic Sci. Int. 222(1–3), 170–178 (2012)
Morales, A., Diaz, M., Llinas-Sanchez, G., Ferrer, M.A.: Earprint recognition based on an ensemble of global and local features. In: 2015 International Carnahan Conference on Security Technology (ICCST), pp. 253–258 (2015)
Abaza, A., Ross, A., Hebert, C., Harrison, M.A.F., Nixson, M.S.: A survey on ear biometrics. ACM Comput. Surv. 45(2) (2013)
Meijerman, L., et al.: Exploratory study on classification and individualization of earprints. Forensic Sci. Int. 140(1), 91–99 (2004)
Meijerman, L., et al.: Inter- and Intra-individual variation in applied force when listening at a surface, and resulting variation in earprints. Med. Sci. Law 46(2), 141–151 (2006)
Champod, C., Evett, I.W., Kuchler, B.: Earmark as evidence: a critical review. J. Forensic Sci. 46(6), 1275–1284 (2001)
Di Stefano, L., Mattoccia, S., Tombari, F.: ZNCC-based template matching using bounded partial correlation. Pattern Recogn. Lett. 26(14), 2129–2134 (2005)
Kieckhoefer, H., Ingleby, M., Lucas, G.: Monitoring the physical formation of earprints: optical and pressure mapping evidence. Measurement 39(10), 918–935 (2006)
Acknowledgments
In writing this paper, we would like to express deepest gratitude to Ikumi Yamada, who was our research member and developed the device which can measure the pressing force of ear and acquire the earprint images synchronously.
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Hirai, N., Vibol, Y., Hamera, L., Wieclaw, L., Krzempek, P., Nishiuchi, N. (2023). Proposal of Earprint Authentication System Considering Pressing Force. In: Saeed, K., Dvorský, J., Nishiuchi, N., Fukumoto, M. (eds) Computer Information Systems and Industrial Management. CISIM 2023. Lecture Notes in Computer Science, vol 14164. Springer, Cham. https://doi.org/10.1007/978-3-031-42823-4_1
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DOI: https://doi.org/10.1007/978-3-031-42823-4_1
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