ICIP 2016 competition on mobile ocular biometric recognition

作者: Ajita Rattani , Reza Derakhshani , Sashi K. Saripalle , Vikas Gottemukkula

DOI: 10.1109/ICIP.2016.7532371

关键词:

摘要: With the unprecedented mobile technology revolution, a number of ocular biometric based personal recognition schemes have been proposed for mobile use cases. The aim of this …

参考文章(16)
Herbert Bay, Tinne Tuytelaars, Luc Van Gool, SURF: speeded up robust features european conference on computer vision. ,vol. 1, pp. 404- 417 ,(2006) , 10.1007/11744023_32
Ishan Nigam, Mayank Vatsa, Richa Singh, Ocular biometrics: A survey of modalities and fusion approaches Information Fusion. ,vol. 26, pp. 1- 35 ,(2015) , 10.1016/J.INFFUS.2015.03.005
Kiran B. Raja, R. Raghavendra, Vinay Krishna Vemuri, Christoph Busch, Smartphone based visible iris recognition using deep sparse filtering Pattern Recognition Letters. ,vol. 57, pp. 33- 42 ,(2015) , 10.1016/J.PATREC.2014.09.006
Maria De Marsico, Michele Nappi, Daniel Riccio, Harry Wechsler, Mobile Iris Challenge Evaluation (MICHE)-I, biometric iris dataset and protocols Pattern Recognition Letters. ,vol. 57, pp. 17- 23 ,(2015) , 10.1016/J.PATREC.2015.02.009
Manik Varma, Andrew Zisserman, A Statistical Approach to Texture Classification from Single Images International Journal of Computer Vision. ,vol. 62, pp. 61- 81 ,(2005) , 10.1007/S11263-005-4635-4
Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool, Speeded-Up Robust Features (SURF) Computer Vision and Image Understanding. ,vol. 110, pp. 346- 359 ,(2008) , 10.1016/J.CVIU.2007.09.014
D.G. Lowe, Object recognition from local scale-invariant features international conference on computer vision. ,vol. 2, pp. 1150- 1157 ,(1999) , 10.1109/ICCV.1999.790410
Unsang Park, Arun Ross, Anil K. Jain, Periocular biometrics in the visible spectrum: A feasibility study international conference on biometrics theory applications and systems. pp. 153- 158 ,(2009) , 10.1109/BTAS.2009.5339068
N. Dalal, B. Triggs, Histograms of oriented gradients for human detection computer vision and pattern recognition. ,vol. 1, pp. 886- 893 ,(2005) , 10.1109/CVPR.2005.177