| Keywords
|
Deep Learning, Biometrics, Ocular Recognition, Cross-Spectrum +
|
| Level
|
Master +
|
| OneLineSummary
|
Cross-Spectrum Ocular Identity Recognition via Deep Learning +
|
| Prerequisites
|
Good knowledge of applied mathematics, signal and image processing, and machine learning. Programming skills (preferably Matlab). +
|
| References
|
R. Jillela and A. Ross, "Matching face aga … R. Jillela and A. Ross, "Matching face against iris images using periocular information," 2014 IEEE International Conference on Image Processing (ICIP), Paris, 2014, pp. 4997-5001.
doi: 10.1109/ICIP.2014.7026012: https://ieeexplore.ieee.org/document/7026012
P. R. Nalla and A. Kumar, "Toward More Accurate Iris Recognition Using Cross-Spectral Matching," in IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 208-221, Jan. 2017.
doi: 10.1109/TIP.2016.2616281: https://ieeexplore.ieee.org/document/7587438tps://ieeexplore.ieee.org/document/7587438
|
| StudentProjectStatus
|
Open +
|
| Supervisors
|
Kevin Hernandez-Diaz +
, Fernando Alonso-Fernandez +
, Josef Bigun +
|
| TimeFrame
|
Winter 2018, Spring 2019 +
|
| Title
|
Cross-Spectrum Ocular Identity Recognition via Deep Learning +
|
| Categories |
StudentProject +
|
| Modification dateThis property is a special property in this wiki.
|
11 October 2018 18:36:17 +
|
