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Proceedings Paper

A study on using mid-wave infrared images for face recognition
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Paper Abstract

The problem of face identication in the Mid-Wave InfraRed (MWIR) spectrum is studied in order to understand the performance of intra-spectral (MWIR to MWIR) and cross-spectral (visible to MWIR) matching. The contributions of this work are two-fold. First, a database of 50 subjects is assembled and used to illustrate the challenges associated with the problem. Second, a set of experiments is performed in order to demonstrate the possibility of MWIR intra-spectral and cross-spectral matching. Experiments show that images captured in the MWIR band can be eciently matched to MWIR images using existing techniques (originally not designed to address such a problem). These results are comparable to the baseline results, i.e., when comparing visible to visible face images. Experiments also show that cross-spectral matching (the heterogeneous problem, where gallery and probe sets have face images acquired in dierent spectral bands) is a very challenging problem. In order to perform cross-spectral matching, we use multiple texture descriptors and demonstrate that fusing these descriptors improves recognition performance. Experiments on a small database, suggests that the problem of cross-spectral matching requires further investigation.

Paper Details

Date Published: 4 May 2012
PDF: 13 pages
Proc. SPIE 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX, 83711K (4 May 2012); doi: 10.1117/12.918899
Show Author Affiliations
Thirimachos Bourlai, West Virginia Univ. (United States)
Arun Ross, West Virginia Univ. (United States)
Cunjian Chen, West Virginia Univ. (United States)
Lawrence Hornak, West Virginia Univ. (United States)


Published in SPIE Proceedings Vol. 8371:
Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX
Sárka O. Southern; B. V. K. Vijaya Kumar; Salil Prabhakar; Arend H. J. Kolk; Kevin N. Montgomery; Arun A. Ross; Carl W. Taylor, Editor(s)

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