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

Thirimachos Bourlai; Arun Ross; Cunjian Chen; Lawrence Hornak

doi:10.1117/12.918899

4 May 2012 A study on using mid-wave infrared images for face recognition

Thirimachos Bourlai, Arun Ross, Cunjian Chen, Lawrence Hornak

Proceedings Volume 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX; 83711K (2012) https://doi.org/10.1117/12.918899
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Thirimachos Bourlai, Arun Ross, Cunjian Chen, and Lawrence Hornak "A study on using mid-wave infrared images for face recognition", 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); https://doi.org/10.1117/12.918899

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