Results 61 to 70 of about 264,849 (132)
Topologically integrated photonic biosensor circuits [PDF]
arXivIntegrated nanophotonic biosensors offer a promising route toward future biomedical detection applications that may enable inexpensive, portable, and sensitive diagnosis of diseases with a small amount of biological samples for convenient early-stage screening of fatal diseases.
arxiv
Recent Advances Addressing the Challenges of Precision Dosing
Clinical Pharmacology &Therapeutics, Volume 116, Issue 3, Page 527-530, September 2024.
Iris K. Minichmayr +5 more
wiley +1 more source
A Prior Embedding-Driven Architecture for Long Distance Blind Iris Recognition [PDF]
arXivBlind iris images, which result from unknown degradation during the process of iris recognition at long distances, often lead to decreased iris recognition rates. Currently, little existing literature offers a solution to this problem. In response, we propose a prior embedding-driven architecture for long distance blind iris recognition.
arxiv
Synthetic Iris Presentation Attack using iDCGAN [PDF]
arXiv, 2017 Reliability and accuracy of iris biometric modality has prompted its large-scale deployment for critical applications such as border control and national ID projects. The extensive growth of iris recognition systems has raised apprehensions about susceptibility of these systems to various attacks.
arxiv
DeepIrisNet2: Learning Deep-IrisCodes from Scratch for Segmentation-Robust Visible Wavelength and Near Infrared Iris Recognition [PDF]
arXiv, 2019 We first, introduce a deep learning based framework named as DeepIrisNet2 for visible spectrum and NIR Iris representation. The framework can work without classical iris normalization step or very accurate iris segmentation; allowing to work under non-ideal situation.
arxiv
Noise Influence on the Fuzzy-Linguistic Partitioning of Iris Code Space [PDF]
arXiv, 2012 This paper analyses the set of iris codes stored or used in an iris recognition system as an f-granular space. The f-granulation is given by identifying in the iris code space the extensions of the fuzzy concepts wolves, goats, lambs and sheep (previously introduced by Doddington as 'animals' of the biometric menagerie) - which together form a ...
arxiv
The ND-IRIS-0405 Iris Image Dataset [PDF]
arXiv, 2016 The Computer Vision Research Lab at the University of Notre Dame began collecting iris images in the spring semester of 2004. The initial data collections used an LG 2200 iris imaging system for image acquisition. Image datasets acquired in 2004-2005 at Notre Dame with this LG 2200 have been used in the ICE 2005 and ICE 2006 iris biometric evaluations.
arxiv
Iris Recognition with Image Segmentation Employing Retrained Off-the-Shelf Deep Neural Networks [PDF]
arXiv, 2019 This paper offers three new, open-source, deep learning-based iris segmentation methods, and the methodology how to use irregular segmentation masks in a conventional Gabor-wavelet-based iris recognition. To train and validate the methods, we used a wide spectrum of iris images acquired by different teams and different sensors and offered publicly ...
arxiv
Iris R-CNN: Accurate Iris Segmentation in Non-cooperative Environment [PDF]
arXiv, 2019 Despite the significant advances in iris segmentation, accomplishing accurate iris segmentation in non-cooperative environment remains a grand challenge. In this paper, we present a deep learning framework, referred to as Iris R-CNN, to offer superior accuracy for iris segmentation.
arxiv
Iris-SAM: Iris Segmentation Using a Foundation Model [PDF]
arXivIris segmentation is a critical component of an iris biometric system and it involves extracting the annular iris region from an ocular image. In this work, we develop a pixel-level iris segmentation model from a foundational model, viz., Segment Anything Model (SAM), that has been successfully used for segmenting arbitrary objects.
arxiv