|
Departamento
de Informática da Universidade da Beira Interior |
|
Contact: SOCIA Lab. – Soft Computing and Image
Analysis Group Department of Computer Science, University of Beira
Interior, 6201-001 Covilhã, Portugal
|
UBIRIS Publications Below are listed some of the published
papers that used images of the UBIRIS databases in their experiments. If you
are aware of another one(s) and wish to include it (them) on this list, please
send us an email with an electronic copy of the paper and the information
about its publication. 2005 ·
Hugo Proença, Luís A. Alexandre; UBIRIS: a noisy
iris image database, in Springer Lecture
Notes in Computer Science – ICIAP 2005: 13th International
Conference on Image Analysis and Processing, Cagliari, Italy, September 6-8,
2005, vol.1, pag. 970-977, ISBN: 3-540-28869-4. ·
Xianchao Qiu, Zhenan Sun and Tieniu Tan1; Global Texture
Analysis of Iris Images for Ethnic Classification, in Springer Lecture Notes in
Computer Science – Advances in Biometrics, 2005, volume 1, pag. 408-412,
ISBN: 978-3-540-31111-9. ·
Wojciech Sankowski, Kamil Grabowski, Mariusz Zubert and
Małgorzata Napieralska; Iris Finder - Progam
for Reliable Iris Localization in Images taken under visible light, Tech Report, 2005. 2006 ·
Hugo Proença, Luís A. Alexandre; Iris
Segmentation Methodology for Non-Cooperative Recognition, IEE Proceedings Vision, Image
& Signal Processing, April, 2006, volume 153, issue 2, pag. 199-205,
Digital Object Identifier 10.1049/ip-vis:20050213. ·
Hugo Proença, Luís A. Alexandre; A
Method for the Identification of Inaccuracies in the Pupil Segmentation, in IEEE Proceedings of the First
International Conference on Availability, Reliability and Security - AReS
2006, Vienna, Austria, April 20-22, 2006, vol. 1, pag. 227-230, ISBN:
0-7695-2567-9. ·
Hugo Proença, Luís A. Alexandre; A
Method for the Identification of Noisy Regions in Normalized Iris Images, in IEEE Proceedings of the 18th
International Conference on Pattern Recognition - ICPR 2006, Hong Kong,
August 20-24, 2006, vol. 4, pag. 405-408, ISBN: 0-7695-2521-0. ·
Hugo Proença, Luís A. Alexandre; Iris
Recognition: An Analysis of the Aliasing Problem in the Iris Normalization
Stage,
in IEEE Proceedings of the 2006 International Conference on Computational
Intelligence and Security - CIS 2006, Guangzhou, China, November 3-6,
2006, vol. 2, pag. 1771-1774, ISBN: 1-4244-0604-8. ·
Hugo Proença, Luís A. Alexandre; Iris
Recognition: Measuring Feature’s Quality for the Feature Selection in
Unconstrained Image Capture Environments, in IEEE Proceedings of the 2006
International Conference on Computational Intelligence for Homeland
Security and Personal Safety - CIHSPS 2006, Alexandria, U.S.A., October
16-17, 2006, vol. 1, pag. 35-40, ISBN: 1-4244-0745-1. ·
Luis E Garza Castañon Saul
Montes de Oca and Rubén Morales-Menéndez; Feature
Characterization in Iris Recognition with Stochastic AutoRegressive Models, in Springer Lecture Notes in
Computer Science, Advances in Artificial Intelligence – IBERAMIA-SBIA 2006, São
Paulo, Brazil, 2006, pag. 168-177, ISSN: 0302-9743. ·
Damien Dessimoz, Jonas Richiardi, Christophe Champod and Andrzej
Drygajlo; Multimodal
Biometrics for Identity Documents, Tech Report, 2006. ·
Arun Ross and Samir Shah; Segmenting
Non-Ideal Irises Using Geodesic Active Contours, Proceedings of Biometric Symposium (BSYM),
Baltimore, 2006. ·
Luís Castanon, Saul Oca and Rúben Menerndez; An application of random and
hammersley sampling methods to iris recognition, LNCS
vol. 4031, pp. 520-529, 2006. 2007 ·
Hugo Proença; Towards
Non-Cooperative Biometric Iris Recognition, Universidade da Beira Interior, Phd Thesis, January, 2007,
ISBN: 978-972-99648-2-4. ·
Hugo Proença, Luís A. Alexandre; Toward
Non-Cooperative Iris Recognition: A Classification Approach Using Multiple
Signatures,
IEEE Transactions on Pattern Analysis and Machine Intelligence, Special
Issue on Biometrics, July, 2007, volume 9, number 4, pag. 607-612, ISBN:
0162-8828. (Special Issue’s Featured Article) ·
Hugo Proença, Luís A. Alexandre; Iris
Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging
Environments, in Springer Lecture Notes in Computer Science – ISVC 2007: 3rd
International Symposium on Visual Computing, Lake Tahoe, Nevada, U.S.A.,
November 26-28, 2007, volume 1, pag. 621-632, ISBN: 978-3-540-76857-9. ·
Hugo Proença, Luís A. Alexandre; Iris
Recognition: A Method to Increase the Robustness to Noisy Imaging
Environments Through the Selection of the Higher Discriminating Features, in IEEE Proceedings of the
International Conference on Computational Intelligence and Multimedia
Applications - ICCIMA'07, Sivakasi, India, December 13-15, 2007, vol. 3,
pag. 301-307, ISBN: 0-7695-3050-8. ·
Iritech Inc; Results of the Iritech Iris Identification
Technologies© on the UBIRIS database, Tech report, 2007. ·
Emine Krichen, Mohamed Chenafa1, Sonia Garcia-Salicetti and Bernadette
Dorizzi; Color-Based Iris
Verification, Springer Lecture Notes in Computer Science – Advances in Biometrics,
volume 4642, 2007, volume 1, pag. 408-412, ISBN: 978-3-540-74548-8. ·
Jorge M. Santos, Joaquim Marques de Sa and Luis A. Alexandre; LEGClust—A
Clustering Algorithm Based on Layered Entropic Subgraphs, IEEE Transactions on Pattern
Analysis and Machine Intelligence, July, 2007, volume 30, number 1, pag. 62-75. ·
Hans Christian Sagbakken; Iris
Recognition Under Various Degradation Models, Tech Report, 2007.
·
Vince Thomas, Nitesh V. Chawla, Kevin W. Bowyer and Patrick J. Flynn; Learning
to predict gender from iris images, in
Proceedings of the IEEE First International Conference on Biometrics:
Theory, Applications and Systems – BTAS 2007, Pages 1-5, Washington DC,
U.S.A., 2007, ISBN: 978-1-4244-1597-7. ·
Donald M. Monro, Soumyadip Rakshit and Dexin Zhang; DCT-Based
Iris Recognition, IEEE Transactions on Pattern
Analysis and Machine Intelligence,
vol. 29, no. 4, pp. 586-595, April 2007. ·
Szewczyk, R.; New
Features Extraction Method for People Recognition on the Basis of the Iris
Pattern,
14th International Conference on Mixed Design of Integrated Circuits and
Systems, page(s):645 – 650, 2007. ·
(Patent WO/2007/080817); Procédé
permettant de localizer des pixels représentat un iris dans une image d’un
oeil acquise. ·
(US Patent) Michael Jones and Guodong Guo; Method for
extracting features of irises in images using difference of sum filters, 2007. ·
Fenghua Wang and Jiuqiang and Xianghua Yao; Iris
Recognition Based on Multialgorithmic Fusion, WSEAS Transactions on Information
Science & Applications, Pag 1415-1422, 2007, ISSN: 1790-0832. ·
Hugo Proença and Luís A. Alexandre; The
NICE.I: Noisy Iris Challenge Evaluation - Part I, First IEEE International Conference
on Biometrics: Theory, Applications, and Systems, 2007. BTAS 2007. 27-29
Sept. 2007, Page(s): 1 – 4. ·
Wojciech Sankowski, Kamil Grabowski, Mariusz Zubert and
Małgorzata Napieralska; Eyelids
Localization Method Designed for Iris Recognition System 14th International Conference on
Mixed Design of Integrated Circuits and Systems, 2007. MIXDES '07. 21-23 June
2007 Page(s): 622 - 627. ·
Puhan, N. B., Sudha, N. and Xudong Jiang; Robust
eyeball segmentation in noisy iris images using fourier spectral density, 6th International Conference on
Information, Communications & Signal Processing, 2007, 10-13 Dec. 2007
Page(s):1 – 5. ·
Szewczyk, R.; New
Features Extraction Method for People Recognition on the Basis of the Iris
Pattern,
14th International Conference on Mixed Design of Integrated Circuits and
Systems, 2007. MIXDES '07. 21-23 June 2007 Page(s): 645 – 650. ·
IriTech
camera certified by Chinese Government, Biometric Technology Today, Volume
15, Issue 6, June 2007, Page 6. ·
S. Mahdi Hosseini, Babak Araabi and Hamid Soltanian-Zadeh; Shape Analysis of Stroma for Iris
Recognition,
LNCS 4642, ICB 2007, 790-799, 2007. 2008 ·
Kevin W. Bowyer , Karen Hollingsworth and Patrick J. Flynn; Image
Understanding for Iris Biometrics: A Survey, Computer Vision and Image
Understanding, No. 2, May 2008, pp. 281-307. ·
Jain Jang, Kang Ryoung Park, Jaihie Kim and Yillbyung Lee; New focus assessment method for iris
recognition systems, Pattern Recognition Letters, Volume 29, Issue 13, Pages 1759-1767,
2008, ISSN: 0167-8655. ·
Jinshuih Taur and Chin-Wang Tao; Iris recognition based on relative variation analysis with feature
selection,
Opt. Eng., Volume 47, Issue 9, 2008. ·
H. Erdinc Kocer and Novruz
Allahverdi; An efficient
iris recognition system based on modular neural networks, Proceedings of the 9th WSEAS
International Conference on Neural Networks, Pages 42-47, 2008, ISBN
978-960-6766-56-5. ·
Fenghua Wang, Xianghua Yao and Jiuqiang Han; Improving iris recognition performance
via multi-instance fusion at the score level, Chinese Optics Letters , Vol.06 ,
Issue 11 , Pag. 824-826, 2008. ·
S.S. Chowhan and G.N. Shinde; Iris Biometrics Recognition Application in Security Management,
ICCES, vol.6, no.1, pp.1-12, 2008. ·
Somnath Dey and Debasis Samanta; Improved Feature Processing for Iris Biometric Authentication System, International Journal of Computer
Systems Science and Engineering, Volume 4, Number 2, 2008. ·
Sheikh Ziauddin and Matthew N. Dailey; Iris Recognition Performance Enhancement Using Weighted Majority
Voting,
ICIP 2008. ·
Peihua Li, Xiaomin Liu; An
Incremental Method for Accurate Iris
Segmentation, 2008. ·
Vatsa M,Singh R and Noore A; Improving iris recognition performance using segmentation, quality
enhancement, match score fusion, and indexing, IEEE transactions on systems, man,
and cybernetics. Part B, Cybernetics, Vol. 38, Issue 4, Pags. 1021-1035,
August, 2008. 2009 · Artur Ferreira, André Lourenço, Bárbara Pinto e Jorge Tendeiro, "Modifications and Improvements on Iris Recognition", Second International Joint Conference on Biomedical Systems and Technologies BIOSTEC-BIOSIGNALS2009, pp 72-79, Porto, Portugal, Janeiro de 2009. 2010 · Hugo Proença, "Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength", IEEE Transactions on Information Forensics and Security (to appear). [Examples of image quality assessments].
|
|
|
fghfghfghfgh
DI-UBI
Bloco VI Rua Marquês de Ávila e Bolama P- 6201-001 Covilhã PORTUGAL