13 June 2014 Multiset singular value decomposition for joint analysis of multi-modal data: application to fingerprint analysis
Author Affiliations +
Abstract
As the availability and use of imaging methodologies continues to increase, there is a fundamental need to jointly analyze data that is collected from multiple modalities. This analysis is further complicated when, the size or resolution of the images differ, implying that the observation lengths of each of modality can be highly varying. To address this expanding landscape, we introduce the multiset singular value decomposition (MSVD), which can perform a joint analysis on any number of modalities regardless of their individual observation lengths. Through simulations, the inter modal relationships across the different modalities which are revealed by the MSVD are shown. We apply the MSVD to forensic fingerprint analysis, showing that MSVD joint analysis successfully identifies relevant similarities for further analysis, significantly reducing the processing time required. This reduction, takes this technique from a laboratory method to a useful forensic tool with applications across the law enforcement and security regimes.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Darren K. Emge, Darren K. Emge, Tülay Adalı, Tülay Adalı, "Multiset singular value decomposition for joint analysis of multi-modal data: application to fingerprint analysis", Proc. SPIE 9092, Signal and Data Processing of Small Targets 2014, 909207 (13 June 2014); doi: 10.1117/12.2053374; https://doi.org/10.1117/12.2053374
PROCEEDINGS
7 PAGES


SHARE
Back to Top