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Welcome to the "Multispectral Imagery Lab" - MILab

West Virginia University’s MILab was founded in 2010 and has various collaborators from private and government sectors. The lab’s research focuses on biometrics and related identification technology and systems. The main mission of MILab is to advance human identification technology in the areas of biometric (including but not limited to face, ears, iris and fingerprints) systems when operating under challenging, real-world conditions.

Our main areas of expertise are the following:

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Biomedical Imaging: we are working on two areas: (i) extracting human physiological signals using optical imaging, and (ii) bio-imaging and nano-toxicity.

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Biometrics (Eye Detection and Face Recognition across the spectrum): We are interested in within-spectral and cross-spectral matching techniques while using visible, SWIR and Thermal face images. We are also working on developing eye detection techniques that can operate when using face images captured in any band.

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FR in the Forensics Domain: We have been working on the problem of restoring severely degraded face images such as images scanned from passport photos or images subjected to fax compression, downscaling and printing.

Since 2010, MILab has participated in biometrics and deception detection related research projects funded by CITeR, i.e. a National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC), DoD-ONR, DoD-DTRA, FBI and TechConnect WV. Currently, MILab has five Ph.D., three Masters and various undergraduate students.


Within the last 3 years of its operation (2011-now), MILab has published about twenty seven (27) conference papers, journals and magazine articles, i.e. more than 2 publications for every 3 months of operation. MILab’s founder and director, Prof. Bourlai, has been invited to present, chair and/or moderate more than twenty (20) national and international events in 2013 alone, a number that illustrates MILab’s reputation and a recognition of its research impact.
 



Thank you for visiting our lab!

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Frontal face images captured (a) in the visible and (b) in the Mid-Wave Infrared (MWIR) band.



Short-Wave Infrared Face Images captured when using no filter, or when using band pass filters.