Forensic print extraction using 3D technology and its processing

Srijith Rajeev; Shreyas Kamath K. M.; Karen Panetta; Sos S. Agaian

doi:10.1117/12.2262307

10 May 2017 Forensic print extraction using 3D technology and its processing

Srijith Rajeev, Shreyas Kamath K. M., Karen Panetta, Sos S. Agaian

Proceedings Volume 10221, Mobile Multimedia/Image Processing, Security, and Applications 2017; 102210L (2017) https://doi.org/10.1117/12.2262307
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

Biometric evidence plays a crucial role in criminal scene analysis. Forensic prints can be extracted from any solid surface such as firearms, doorknobs, carpets and mugs. Prints such as fingerprints, palm prints, footprints and lip-prints can be classified into patent, latent, and three-dimensional plastic prints. Traditionally, law enforcement officers capture these forensic traits using an electronic device or extract them manually, and save the data electronically using special scanners. The reliability and accuracy of the method depends on the ability of the officer or the electronic device to extract and analyze the data. Furthermore, the 2-D acquisition and processing system is laborious and cumbersome. This can lead to the increase in false positive and true negative rates in print matching. In this paper, a method and system to extract forensic prints from any surface, irrespective of its shape, is presented. First, a suitable 3-D camera is used to capture images of the forensic print, and then the 3-D image is processed and unwrapped to obtain 2-D equivalent biometric prints. Computer simulations demonstrate the effectiveness of using 3-D technology for biometric matching of fingerprints, palm prints, and lip-prints. This system can be further extended to other biometric and non-biometric modalities.

Citation Download Citation

Srijith Rajeev, Shreyas Kamath K. M., Karen Panetta, and Sos S. Agaian "Forensic print extraction using 3D technology and its processing", Proc. SPIE 10221, Mobile Multimedia/Image Processing, Security, and Applications 2017, 102210L (10 May 2017); https://doi.org/10.1117/12.2262307

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