Hugo Proença, Luís A. Alexandre. Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments. In George Bebis, Richard D. Boyle, Bahram Parvin, Darko Koracin, Nikos Paragios, Tanveer Fathima Syeda-Mahmood, Tao Ju, Zicheng Liu, Sabine Coquillart, Carolina Cruz-Neira, Torsten Müller, Thomas Malzbender, editors, Advances in Visual Computing, Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part I. Volume 4841 of Lecture Notes in Computer Science, pages 621-632, Springer, 2007. [doi]
@inproceedings{ProencaA07:0, title = {Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments}, author = {Hugo Proença and Luís A. Alexandre}, year = {2007}, doi = {10.1007/978-3-540-76858-6_60}, url = {http://dx.doi.org/10.1007/978-3-540-76858-6_60}, tags = {rule-based, Meta-Environment}, researchr = {https://researchr.org/publication/ProencaA07%3A0}, cites = {0}, citedby = {0}, pages = {621-632}, booktitle = {Advances in Visual Computing, Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part I}, editor = {George Bebis and Richard D. Boyle and Bahram Parvin and Darko Koracin and Nikos Paragios and Tanveer Fathima Syeda-Mahmood and Tao Ju and Zicheng Liu and Sabine Coquillart and Carolina Cruz-Neira and Torsten Müller and Thomas Malzbender}, volume = {4841}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-540-76857-9}, }