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Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation.

, , , and . IJCNN, page 1283-1288. IEEE, (2007)

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Using artificial neural networks and feature saliency to identify iris measurements that contain the most discriminatory information for iris segmentation., and . CIB, page 46-51. IEEE, (2009)Iris Acquisition Device., , , , and . Encyclopedia of Biometrics, Springer US, (2015)Compression of complex-valued SAR images., and . IEEE Trans. Image Processing, 8 (10): 1483-1487 (1999)An artificial neural network based matching metric for iris identification., , , and . Image Processing: Algorithms and Systems, volume 6812 of SPIE Proceedings, page 68120. SPIE, (2008)Resource-aware architecture design and implementation of hough transform for a real-time iris boundary detection system., , , and . IEEE Trans. Consumer Electronics, 60 (3): 485-492 (2014)Case for a field-programmable gate array multicore hybrid machine for an image-processing application., , , and . J. Electronic Imaging, 20 (1): 013015 (2011)Analysis of partial iris recognition using a 1D approach., , , , and . ICASSP (2), page 961-964. IEEE, (2005)Parallelizing iris recognition., , , , and . IEEE Trans. Information Forensics and Security, 4 (4): 812-823 (2009)Dual camera system for acquisition of high resolution images., , and . Real-Time Image Processing, volume 6496 of SPIE Proceedings, page 649604. SPIE, (2007)Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation., , , and . IJCNN, page 1283-1288. IEEE, (2007)