Periocular Recognition Paper List

• Tan CW, Kumar A., "Towards online iris and periocular recognition under relaxed imaging constraints," IEEE Trans Image Process. 2013 Oct;22(10):3751-65. Web Link
• Gil Santos, Hugo Proença; Periocular Biometrics: An Emerging technology for Unconstrained Scenarios, in Proceedings of the IEEE Symposium on Computational Intelligence in Biometrics and Identity Management – CIBIM 2013 , Singapore, April 16-19, pag. 14-21 Web Link
• Hugo Proença, Gil Santos, João C. Neves; Using Ocular Data for Unconstrained Biometric Recognition, Face Recognition in Adverse Conditions, Maria De Marsico, Michele Nappi, Massimo Tistarelli (Eds.), IGI Global, 2013, ISBN: ??. (to appear) Web Link
• Sambit Bakshi, Pankaj K. Sa, and Banshidhar Majhi, “Optimized Periocular Template Selection for Human Recognition,” BioMed Research International, vol. 2013, Article ID 481431, 14 pages, 2013. Web Link
• Mahalingam, Gayathri and Ricanek, Karl, Jr, "LBP-based periocular recognition on challenging face datasets," EURASIP Journal on Image and Video Processing,vol-2013, no-1, Springer International Publishing,pp. 1-13, 2013 Web Link
• Klontz, Josh and Burge, MarkJ., "Periocular Recognition from Low-Quality Iris Images," Handbook of Iris Recognition, Advances in Computer Vision and Pattern Recognition,2013, Springer London,pp. 309-319 Web Link
• C. Padole and H. Proença "Compensating for Pose and Illumination in Unconstrained Periocular Biometrics", International Journal of Biometrics (IJBM), 2013 Vol.5, No.3/4, pp.336 - 359 Web Link Paper Dataset(UBIPosePr)
• Fazendeiro, Paulo; Padole, Chandrashekhar ; Sequeira, Pedro ; Prata, Paula;, "OpenCL Implementations of a Genetic Algorithm for Feature Selection in Periocular Biometric Recognition," Swarm, Evolutionary, and Memetic Computing (SEMCCO), 2012 Lecture Notes in Computer Science, Springer Berlin Heidelberg, pp. 729-737, 20-22 Dec 2012 Web Link
• Tan, Chun-Wei; Kumar, Ajay; , "Human identification from at-a-distance images by simultaneously exploiting iris and periocular features," Pattern Recognition (ICPR), 2012 21st International Conference on , vol., no., pp.553-556, 11-15 Nov. 2012 Web Link
• Joshi, A.; Gangwar, A.K.; Saquib, Z.;; , "Person recognition based on fusion of iris and periocular biometrics," Hybrid Intelligent Systems (HIS), 2012 12th International Conference on , vol., no., pp.57-62, 4-7 Dec. 2012 Web Link
• Fernando Alonso-Fernandez, Josef Bigun; , "Periocular Recognition Using Retinotopic Sampling and Gabor Decomposition," Computer Vision – ECCV 2012. Workshops and Demonstrations Lecture Notes in Computer Science Volume 7584, 2012, pp 309-318 Web Link
• Lakshmiprabha, N.S. ; Majumder, S. ; , "Face recognition system invariant to plastic surgery," Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on , vol., no., pp.258-263, 27-29 Nov. 2012 Web Link
• Beom-Seok Oh; Kangrok Oh; Kar-Ann Toh; , "On projection-based methods for periocular identity verification," Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on , vol., no., pp.871-876, 18-20 July 2012 Web Link
• Padole, C.N.; Proenca, H.; , "Periocular recognition: Analysis of performance degradation factors," Biometrics (ICB), 2012 5th IAPR International Conference on , vol., no., pp.439-445, March 29 2012-April 1 2012 Web Link Dataset (UBIPr)
• Ross, A.; Jillela, R.; Smereka, J.M.; Boddeti, V.N.; Kumar, B.V.K.V.; Barnard, R.; Xiaofei Hu; Pauca, P.; Plemmons, R., "Matching highly non-ideal ocular images: An information fusion approach," Biometrics (ICB), 2012 5th IAPR International Conference on , vol., no., pp.446,453, March 29 2012-April 1 2012 Web Link
• Hollingsworth, K.P.; Darnell, S.S.; Miller, P.E.; Woodard, D.L.; Bowyer, K.W.; Flynn, P.J.; , "Human and Machine Performance on Periocular Biometrics Under Near-Infrared Light and Visible Light," Information Forensics and Security, IEEE Transactions on , vol.7, no.2, pp.588-601, April 2012 Web Link
• HJuefei-Xu, F.; Savvides, M.; , "Unconstrained periocular biometric acquisition and recognition using COTS PTZ camera for uncooperative and non-cooperative subjects," Applications of Computer Vision (WACV), 2012 IEEE Workshop on , vol., no., pp.201-208, 9-11 Jan. 2012 Web Link
• Unsang Park; Jillela, R.R.; Ross, A.; Jain, A.K.; , "Periocular Biometrics in the Visible Spectrum," Information Forensics and Security, IEEE Transactions on , vol.6, no.1, pp.96-106, March 2011 Web Link
• Boddeti, V.N.; Smereka, J.M.; Kumar, B.V.K.V., "A comparative evaluation of iris and ocular recognition methods on challenging ocular images," Biometrics (IJCB), 2011 International Joint Conference on , vol., no., pp.1,8, 11-13 Oct. 2011 Web Link
• Alford, A.; Popplewell, K.; Dozier, G.; Bryant, K.; Kelly, J.; Adams, J.; Abegaz, T.; Shelton, J.; Ricanek, K.; Woodard, D.L.; , "A comparison of GEC-based feature selection and weighting for multimodal biometric recognition," Evolutionary Computation (CEC), 2011 IEEE Congress on , vol., no., pp.2725-2728, 5-8 June 2011 Web Link
• Juefei-Xu, F.; Luu, K.; Savvides, M.; Bui, T.D.; Suen, C.Y.; , "Investigating age invariant face recognition based on periocular biometrics," Biometrics (IJCB), 2011 International Joint Conference on , vol., no., pp.1-7, 11-13 Oct. 2011 Web Link
• Dozier, G.; Purrington, K.; Popplewell, K.; Shelton, J.; Abegaz, T.; Bryant, K.; Adams, J.; Woodard, D.L.; Miller, P.; , "GEFeS: Genetic & evolutionary feature selection for periocular biometric recognition," Computational Intelligence in Biometrics and Identity Management (CIBIM), 2011 IEEE Workshop on , vol., no., pp.152-156, 11-15 April 2011 Web Link
• Woodard, Damon; Pundlik, Shrinivas; Miller, Philip; Lyle, Jamie;, "Appearance-based periocular features in the context of face and non-ideal iris recognition," Signal, Image and Video Processing, Springer London, 443-455,Vol. 5, Issue: 4 Web Link
• Lakshmiprabha, N.S.; Bhattacharya, J.; Majumder, S.; , "Face recognition using multimodal biometric features," Image Information Processing (ICIIP), 2011 International Conference on , vol., no., pp.1-6, 3-5 Nov. 2011 Web Link
• Simpson, L.; Dozier, G.; Adams, J.; Woodard, D.L.; Miller, P.; Bryant, K.; Glenn, G.; , "Genetic & Evolutionary Type II feature extraction for periocular-based biometric recognition," Evolutionary Computation (CEC), 2010 IEEE Congress on , vol., no., pp.1-4, 18-23 July 2010 Web Link
• Hollingsworth, K.; Bowyer, K.W.; Flynn, P.J.; , "Identifying useful features for recognition in near-infrared periocular images," Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on , vol., no., pp.1-8, 27-29 Sept. 2010 Web Link
• Bharadwaj, S.; Bhatt, H.S.; Vatsa, M.; Singh, R.; , "Periocular biometrics: When iris recognition fails," Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on , vol., no., pp.1-6, 27-29 Sept. 2010 Web Link
• Miller, P.E.; Lyle, J.R.; Pundlik, S.J.; Woodard, D.L.; , "Performance evaluation of local appearance based periocular recognition," Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on , vol., no., pp.1-6, 27-29 Sept. 2010 Web Link
• Merkow, J.; Jou, B.; Savvides, M.; , "An exploration of gender identification using only the periocular region," Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on , vol., no., pp.1-5, 27-29 Sept. 2010 Web Link
• Adams, J.; Woodard, D.L.; Dozier, G.; Miller, P.; Bryant, K.; Glenn, G.; , "Genetic-Based Type II Feature Extraction for Periocular Biometric Recognition: Less is More," Pattern Recognition (ICPR), 2010 20th International Conference on , vol., no., pp.205-208, 23-26 Aug. 2010 Web Link
• Lyle, J.R.; Miller, P.E.; Pundlik, S.J.; Woodard, D.L.; , "Soft biometric classification using periocular region features," Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on , vol., no., pp.1-7, 27-29 Sept. 2010 Web Link
• Woodard, D.L.; Pundlik, S.; Miller, P.; Jillela, R.; Ross, A.; , "On the Fusion of Periocular and Iris Biometrics in Non-ideal Imagery," Pattern Recognition (ICPR), 2010 20th International Conference on , vol., no., pp.201-204, 23-26 Aug. 2010 Web Link
• Woodard, D.L.; Pundlik, S.J.; Lyle, J.R.; Miller, P.E.; , "Periocular region appearance cues for biometric identification," Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on , vol., no., pp.162-169, 13-18 June 2010 Web Link
• Juefei Xu; Cha, M.; Heyman, J.L.; Venugopalan, S.; Abiantun, R.; Savvides, M.; , "Robust local binary pattern feature sets for periocular biometric identification," Biometrics: Theory Applications and Systems (BTAS), 2010 Fourth IEEE International Conference on , vol., no., pp.1-8, 27-29 Sept. 2010 Web Link
• Unsang Park; Ross, A.; Jain, A.K.; , "Periocular biometrics in the visible spectrum: A feasibility study," Biometrics: Theory, Applications, and Systems, 2009. BTAS '09. IEEE 3rd International Conference on , vol., no., pp.1-6, 28-30 Sept. 2009 Web Link