Ms. Delia P. McGarry Profile

Delia P. McGarry

at Mitretek Systems Inc

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Author

Publications (4)

Proceedings Article | 25 August 2004 Paper

Effects of compression and individual variability on face recognition performance

Delia McGarry, Craig Arndt, Steven McCabe, Donald D'Amato

Proceedings Volume 5404, (2004) https://doi.org/10.1117/12.543054

KEYWORDS: Image compression, Biometrics, Facial recognition systems, Databases, Standards development, Glasses, Photography, JPEG2000, Head, Image quality standards

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The Enhanced Border Security and Visa Entry Reform Act of 2002 requires that the Visa Waiver Program be available only to countries that have a program to issue to their nationals machine-readable passports incorporating biometric identifiers complying with applicable standards established by the International Civil Aviation Organization (ICAO). In June 2002, the New Technologies Working Group of ICAO unanimously endorsed the use of face recognition (FR) as the globally interoperable biometric for machine-assisted identity confirmation with machine-readable travel documents (MRTDs), although Member States may elect to use fingerprint and/or iris recognition as additional biometric technologies. The means and formats are still being developed through which biometric information might be stored in the constrained space of integrated circuit chips embedded within travel documents. Such information will be stored in an open, yet unalterable and very compact format, probably as digitally signed and efficiently compressed images. The objective of this research is to characterize the many factors that affect FR system performance with respect to the legislated mandates concerning FR. A photograph acquisition environment and a commercial face recognition system have been installed at Mitretek, and over 1,400 images have been collected of volunteers. The image database and FR system are being used to analyze the effects of lossy image compression, individual differences, such as eyeglasses and facial hair, and the acquisition environment on FR system performance. Images are compressed by varying ratios using JPEG2000 to determine the trade-off points between recognition accuracy and compression ratio. The various acquisition factors that contribute to differences in FR system performance among individuals are also being measured. The results of this study will be used to refine and test efficient face image interchange standards that ensure highly accurate recognition, both for automated FR systems and human inspectors. Working within the M1-Biometrics Technical Committee of the InterNational Committee for Information Technology Standards (INCITS) organization, a standard face image format will be tested and submitted to organizations such as ICAO.

Proceedings Article | 3 July 2001 Paper

Reconstruction of electron paramagnetic resonance images using iterative methods

Delia McGarry, John Cook, Sankaran Subramanian, Nallathamby Devasahayam, Murali Cherukuri, Calvin Johnson

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.431097

KEYWORDS: Reconstruction algorithms, Iterative methods, Signal to noise ratio, Distance measurement, Magnetism, Imaging systems, Tissues, Image restoration, Interference (communication), Cancer

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Proceedings Article | 5 May 2000 Paper

NIHmagic: 3D visualization, registration, and segmentation tool

Raisa Freidlin, Chikai Ohazama, Andrew Arai, Delia McGarry, Julio Panza, Benes Trus

Proceedings Volume 3905, (2000) https://doi.org/10.1117/12.384874

KEYWORDS: Visualization, Volume rendering, Image segmentation, Image registration, 3D image processing, Opacity, Raster graphics, 3D visualizations, 3D displays, Heart

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Proceedings Article | 25 April 1997 Paper

Registration of functional magnetic resonance imagery using mutual information

Delia McGarry, Theodore Jackson, Michelle Plantec, Neal Kassell, J. Downs

Proceedings Volume 3034, (1997) https://doi.org/10.1117/12.274148

KEYWORDS: Image registration, Functional magnetic resonance imaging, Magnetism, Brain, Feature extraction, Image segmentation, Visualization, Brain activation, Neuroimaging, Stochastic processes

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