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The Iris architecture and implementation
1990
IEEE Transactions on Knowledge and Data Engineering
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The authors wish to thank Jurgen Annevelink, Dan Fishman, Stefan Gower, Marie-Anne Neimat, Emmanuel" Onuegbe, Katie Rotzell and the reviewers for helpful comments on this paper. ...
Iris Kernel Architecture
Overview The Iris Kernel is a program that implements the Iris data model. ...
Acknowledgements Marie-Anne Neimat designed and implemented the general-purpose cache manager. Jurgen Annevelink and Jim Davis were instrumental in converting Iris to the new architecture. ...
doi:10.1109/69.50906
fatcat:glwmanaq7nhw3lbnnr7c4al72u
Iris: an architecture for cognitive radio networking testbeds
2010
IEEE Communications Magazine
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Table 1 compares the Iris architecture with two other software radio architectures: GNU Radio and Open Source SCA Implementation::Embedded (OSSIE) [6] , an open source implementation of the SCA. ...
To demonstrate the capabilities of the Iris architecture, a network of highly reconfigurable nodes was designed and implemented. ...
doi:10.1109/mcom.2010.5560595
fatcat:mec46eyfujd63imyqbdvk2yuwq
Hardware implementation of a novel edge-map generation technique for pupil detection in NIR images
2017
Engineering Science and Technology, an International Journal
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Field programmable logic array (FPGA) based hardware implementation of the proposed technique is presented, which can be used in iris localization system on FPGA based platforms for iris recognition application ...
This paper proposes an edge-map generation technique for pupil detection in near infrared (NIR) images and its hardware implementation. ...
We thankfully acknowledge CASIA for providing us the iris images. ...
doi:10.1016/j.jestch.2016.11.001
fatcat:eibod7xbrjghdnsi3q6gv2t4uq
VLSI Architecture Design and Implementation of CANNY Edge Detection
2022
Journal of University of Shanghai for Science and Technology
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A modified canny edge detector is created in MATLAB and implemented in FPGA in this project. ...
The goal of creating the hardware modules for the canny edge detector was to minimise its complexity, improve its performance, and make it appropriate for VLSI implementation on a reconfigurable FPGA-based ...
This edge map is utilised to detect the inner and outer iris boundaries, as well as any iris eyelid boundaries. The implementation of VLSI is the next phase. ...
doi:10.51201/jusst/22/0167
fatcat:i6gzoz7gizadnibenbz3i4v36y
IRIS Brochure 1
[article]
2021
Zenodo
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IRIS Brochure 1 ...
relevant stakeholders' behaviour to identify the main legal, ethics and social enablers for the IRIS solution. • To design and implement an automated threat analytics framework capable of detecting and ...
Objectives • To identify the user, technical and business requirements and design the architecture of an AI threat reporting and incident response system to support the operations of CERTs/CSIRTs towards ...
doi:10.5281/zenodo.6536056
fatcat:mgty25rybja7phg3zkqucfobqu
Hardware–software co-design of an iris recognition algorithm
2011
IET Information Security
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This paper describes the implementation of an iris recognition algorithm based on hardware-software co-design. ...
the computing time for iris image analysis and creation of an IrisCode is about 30 ms [1][2]. ...
Conversely, the subroutines to scrub specular reflections and to localize the iris and pupil boundaries are suitable for hardware implementation. ...
doi:10.1049/iet-ifs.2009.0267
fatcat:efsfr2envzfc3nxmmr24aj2kha
Multi-platform demonstrations using the Iris architecture for cognitive radio network testbeds
2010
Proceedings of the 5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications
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All three systems were developed using the Iris cognitive radio network architecture. Each system employs a different processing platform. ...
The paper provides an overview of Iris and looks at each demonstration system in turn, illustrating the way in which the unique features of each platform are used. ...
Fig. 1 illustrates the Iris architecture. A powerful aspect of the Iris architecture is the ability to support heterogeneous processing platforms. ...
doi:10.4108/icst.crowncom2010.9264
dblp:conf/crowncom/SuttonLLOFNND10
fatcat:oaouxqutbnbxlckotizl3vuxdm
Boosting Iris Recognition by Margin-Based Loss Functions
2022
Algorithms
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This paper proposes a novel iris identification framework that integrates the light-weight MobileNet architecture with customized ArcFace and Triplet loss functions. ...
To reduce the amount of preprocessing, the normalization step is omitted and segmented iris images are used directly. ...
Acknowledgments: The authors would like to thank Guowei Wang for providing the implementation of Keras_insightface, which is available on Github, accessed on April 2021 (https://github.com/ leondgarse/ ...
doi:10.3390/a15040118
fatcat:6remvkerlba4zfcujimp3i46iy
Dynamic adaptive neural network arrays
2015
Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments - MLHPC '15
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This paper describes the DANNA structure, how DANNA is trained using evolutionary optimization, and an application of DANNA to a very simple classification task. ...
Dynamic Adaptive Neural Network Array (DANNA) is a neuromorphic hardware implementation. ...
We would like to acknowledge the support and guidance of our collaborators, especially Dr. ...
doi:10.1145/2834892.2834895
dblp:conf/sc/SchumanDR15
fatcat:kwqxad4x45cjxpwvstyloih45y
Iris: An extensible application for building and analyzing spectral energy distributions
2014
Astronomy and Computing
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Iris takes advantage of the standards defined by the International Virtual Observatory Alliance, but hides the technicalities of such standards by implementing different layers of abstraction on top of ...
As such, Iris offers a platform for the development and integration of SED data, services, and applications, either from the user's system or from the web. ...
Support for the development of Iris was provided by the Virtual Astronomical Observatory contract AST0834235. ...
doi:10.1016/j.ascom.2014.07.004
fatcat:2aoggdukbvanzme3upkzpbgnse
A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks
[article]
2019
arXiv
pre-print
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For mobile and embedded systems, a significant challenge is that the proposed FCN architectures are extremely computationally demanding. ...
To attain accurate and efficient FCN models, we propose a three-step SW/HW co-design methodology consisting of FCN architectural exploration, precision quantization, and hardware acceleration. ...
INTRODUCTION Due to the unique and rich signatures in the irises of each individual, iris recognition has been shown as one of the most secure forms of biometric identification [10] . ...
arXiv:1909.03385v1
fatcat:zrnbxegj5fhotgekikp4dv4w5q
Iris Recognition Using Wavelet Transform and Neural Networks
2015
International Journal of Science and Research (IJSR)
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Hence we present a method of recognizing an iris using wavelet transform and Neural Networks. The paper presents the ANN models and gives respective results and comparisons. ...
The advantage of working with iris recognition is the iris pattern of an individual is same throughout lifetime. So iris pattern never change irrespective of its surrounding conditions. ...
Iris Recognition System The architecture of iris recognition system is shown in Figure 2 . Iris recognition includes iris image enrollment and verification. ...
doi:10.21275/v5i5.nov163612
fatcat:2gcwtoogljbrzaoekcx5crbi3q
Efficient Iris Recognition Management in Object-Related Databases
2018
Journal of Computer Science and Technology
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Its development is based on a reference architecture that includes both the management of images of the iris trait, its associated metadata and the necessary methods for both manipulation and queries. ...
An implementation of the extension is performed for PostgreSQL DBMS, and SP-GiST framework is used in the implementation of a domain index. ...
Competing interests The authors have declared that no competing interests exist. ...
doi:10.24215/16666038.18.e12
fatcat:cvavgesu4zgpzjazllkh3cafwm
Workload characteristics for iris matching algorithm: A case study
2013
2013 IEEE International Conference on Technologies for Homeland Security (HST)
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The results show that data loading and memory access incurs great performance overhead and motivates us to move the biometrics computation to highperformance architecture. ...
Taking Daugman's iris matching algorithm, which has been proven to be the most reliable iris matching method, as a case study, we conduct performance profiling and binary instrumentation on the benchmark ...
[12] parallelized the code for the iris segmentation, template creation, and template matching stages and implemented them on FPGA. ...
doi:10.1109/ths.2013.6699078
fatcat:pmeztkudlnginbmgtlempzsmxi
The Iris Software Development Kit
[article]
2012
Figshare
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In this talk at the IVOA Interoperability Meeting in Sao Paulo, 2012, I presented the Iris Software Development Kit and some examples of third party plugins. ...
Iris is the Virtual Astronomical Observatory Spectral Energy Distribution. ...
Easily implementable • Dependencies not already included in Iris are automatically packaged with the Plugin. ...
doi:10.6084/m9.figshare.105149.v1
fatcat:67cntqbvirfgfoo22ok7xvcilu
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