MS Computer Science & Information Systems

Karl Ricanek and team

Advanced Study: Biometrics

As part of the degree requirements, students complete a research project or theses in an area of interest to them. This enhances their expertise in an area.

Biometrics is the authentication of person’s identity based on physical or behavioral characteristics. Biometric technology can be found in our everyday life, from paying for groceries to accessing buildings to crime investigations using methods of determining patterns through keyboarding, speech (voice), gait, configuration of veins in the finger or hand (veinal), and geometries of the hand, face, finger, or iris [1].

The increasing need for businesses and governments to secure assets, identities, and facilities is driving the market for Biometrics, which was valued at $10.41 billion in 2015 [2]. The market for face, iris, vein, and voice recognition is expected to expand to $3.5 billion [3].

Expert Faculty

Students who want to specialize in mobile application development can study independently with faculty who research and write articles in mobile development, and who also have significant hands-on knowledge of biometrics.

  • Dr. Karl Ricanek, Professor of Computer Science, Director of I3S Institute, Director of The Face Aging Group & co-Director of CASIS
    • Books & Chapters
      • Ricanek, K. Mahalingam, G., Albert, A.M. Vorder Bruegge, R. (2013) Human Face Aging: A Perspective Analysis from Anthropology and Biometrics in Age Factors in Biometric Processing, Institution of Engineering and Technology, Editor Michael Fairhurst, Fall 2013.
      • Albert A.M., Sethuram, A.,Ricanek, K. (2011) Implications of Adult Facial Aging Factors on Biometrics, Biometrics – Unique and Diverse Applications in Nature, Science, and Technology, Vienna, Austria, 978-953-307-187-9, Intech April 2011.
      • Ricanek, K.; Sethuram, A.; Patterson E.K.; Albert, A.M.; and Boone E.L. (2009) Craniofacial aging, Wiley Handbook of Science and Technology for Homeland Security.  J.G. Voeller (Ed.), John Wiley & Sons, Inc.  Hoboken, NJ. 
      • Woodard, D. L., Ricanek, K. (2009) Iris Databases, Biometrics Encyclopedia, Stan Z. Li (Ed.), New York, NY: Biometrics Encyclopedia, Springer.
      • Dozier, G., Savvides, M., Bryant, K., Ricanek, K., Woodard, D. L. (2009) Developing Iris Templates via Bit Inconsistency and GRIT, Biometrics Encyclopedia, Stan Z. Li (Ed.), New York, NY: Biometrics Encyclopedia, Springer.
    • Journals
      • Mahalingam, G. and Ricanek, K. “LBP-based Periocular Recognition on Challenging Face Datasets”, EURASIP Journal on Image and Video Processing, vol 36, pp 1-13, 2013.
      • Gayathri Mahalingam and Karl Ricanek, “LBP-based Periocular on Three Challenging Face Datasets”, Journal on Image and Video Processing, vol 36, 2013.
    • Conferences
      • Ricanek, K., Bhardwaj, S., Sodomsky M., “A Review of Face Recognition Against Longitudinal Child Faces, 14th International Conference of the Biometrics Special Interest Group (BioSig 2015), Darmstadt, Germany, September 9th 2015.
      • Tokola, R., Bolme, D., Barstow, D., Boehnen, C., Ricanek, K., “Discriminating Projections for Estimating Face Age in Wild Images,” IEEE/IAPR International Joint Conference on Biometrics, Clearwater, Florida, October 2 2014.
      • Brown, C, Ricanek, K, Simmonds, D, BIOBase: An Adaptable Biometric Tool and Database,” International Conference on Bioinformatics and Computational Biology 2014 (BioComp 2014), Las Vegas, Nevada, July 21 2014.
      • Mahalingam, G. and Ricanek, K, “Investigating the Effects of Gender and Age-group based Differences in Identical Twins”, National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIG), Jodhpur, India, December 18 2013.
      • Macurak, D., Sethuram, A., Ricanek, K. and Barbour, B. “DASM: An Open Source Active Model for Automatic Registration of Objects” IEEE National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIG), Jodhpur, India, December 18 2013.
      • Chen, C., Chang, Y. O., Wang, Y., & Ricanek, K.. “Eyebrow Shape Analysis by Using a Modified Functional Curve Procrustes Distance”, IEEE Conference on Biometrics: Theory, Applications, and Systems (BTAS), Washington, DC, October 2013.

Nationally Recognized Research Facility

The Face Aging Group gives MS CSIS students the opportunity to pursue individual research projects in Biometrics and biometric technology as their capstone project for this degree program. The capstone is completed with the guidance, expertise, and support of faculty usually over the course of a year. In many cases, capstone projects solve a real-world problem and industry professionals participate on committees. With The Face Aging Group, students can complete their capstone projects using state-of-the-art equipment while working as an intern with the lab or while working with current research that is being conducted.

Student Capstone Project Related to Biometrics

Students get the opportunity to pursue individual projects in the form of a Capstone. The Capstone is completed with the guidance, expertise, and support of faculty, usually over the course of a year. In many cases, industry professionals participate on the committee, or the Capstone project solves a real-world problem.

References

  1. Biometrics (February 2010) Computing Now.
  2. Biometrics Technology Market Analysis By Application..., 2018 - 2025 (February 2017) Grand View Research.
  3. Biometrics market expected to hit $12 billion in 2015 (18 Jan 2011) Homeland Security News Wire.