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IRINA: Iris Recognition (Even) in Inaccurately Segmented Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11569947_17openalex-snapshot
A Non-linear Normalization Model for Iris Recognition
inferredcites →https://doi.org/10.1007/978-1-4471-4402-1_17openalex-snapshot
Application of Correlation Filters for Iris Recognition
inferredcites →https://doi.org/10.1007/978-1-4471-4402-1_2openalex-snapshot
A Survey of Iris Biometrics Research: 2008–2010
inferredcites →https://doi.org/10.1007/978-1-4471-4402-1_7openalex-snapshot
A Theoretical Model for Describing Iris Dynamics
inferredcites →https://doi.org/10.1007/978-3-540-74549-5_82openalex-snapshot
Nonlinear Iris Deformation Correction Based on Gaussian Model
inferredcites →https://doi.org/10.1007/978-3-642-02498-6_45openalex-snapshot
Dense Registration with Deformation Priors
inferredcites →https://doi.org/10.1007/s11263-006-7899-4openalex-snapshot
Efficient Belief Propagation for Early Vision
inferredcites →https://doi.org/10.1016/j.optlaseng.2008.07.004openalex-snapshot
Region-based SIFT approach to iris recognition
inferredcites →https://doi.org/10.1016/s0042-6989(00)00068-7openalex-snapshot
A ‘minimum-wear-and-tear’ meshwork for the iris
inferredcites →https://doi.org/10.1109/34.244676openalex-snapshot
High confidence visual recognition of persons by a test of statistical independence
inferredcites →https://doi.org/10.1109/btas.2015.7358759openalex-snapshot
Exploiting stable and discriminative iris weight map for iris recognition under less constrained environment
inferredcites →https://doi.org/10.1109/cvprw.2014.13openalex-snapshot
Optimization of Iris Codes for Improved Recognition
inferredcites →https://doi.org/10.1109/eusipco.2015.7362348openalex-snapshot
Eigen-patch iris super-resolution for iris recognition improvement
inferredcites →https://doi.org/10.1109/icb.2012.6199791openalex-snapshot
Matching highly non-ideal ocular images: An information fusion approach
inferredcites →https://doi.org/10.1109/icb.2015.7139041openalex-snapshot
A biomechanical approach to iris normalization
inferredcites →https://doi.org/10.1109/icb.2016.7550055openalex-snapshot
Accurate iris segmentation in non-cooperative environments using fully convolutional networks
inferredcites →https://doi.org/10.1109/icip.2015.7351665openalex-snapshot
High-order information for robust iris recognition under less controlled conditions
inferredcites →https://doi.org/10.1109/icip.2016.7532769openalex-snapshot
DeepIrisNet: Deep iris representation with applications in iris recognition and cross-sensor iris recognition
inferredcites →https://doi.org/10.1109/jproc.2006.884091openalex-snapshot
Iris on the Move: Acquisition of Images for Iris Recognition in Less Constrained Environments
inferredcites →https://doi.org/10.1109/tcyb.2015.2504388openalex-snapshot
Extending the Capture Volume of an Iris Recognition System Using Wavefront Coding and Super-Resolution
inferredcites →https://doi.org/10.1109/tifs.2009.2033225openalex-snapshot
Iris Segmentation Using Geodesic Active Contours
inferredcites →https://doi.org/10.1109/tifs.2015.2398817openalex-snapshot
Deep Representations for Iris, Face, and Fingerprint Spoofing Detection
inferredcites →https://doi.org/10.1109/tifs.2015.2434271openalex-snapshot
Probabilistic Deformation Models for Challenging Periocular Image Verification
inferredcites →https://doi.org/10.1109/tifs.2016.2535901openalex-snapshot
Iris Recognition Based on Human-Interpretable Features
inferredcites →https://doi.org/10.1109/tip.2014.2337714openalex-snapshot
Accurate Iris Recognition at a Distance Using Stabilized Iris Encoding and Zernike Moments Phase Features
inferredcites →https://doi.org/10.1109/tmi.2013.2265603openalex-snapshot
Deformable Medical Image Registration: A Survey
inferredcites →https://doi.org/10.1109/tpami.2007.1006openalex-snapshot
A Bayesian Approach to Deformed Pattern Matching of Iris Images
inferredcites →https://doi.org/10.1109/tpami.2008.240openalex-snapshot
Ordinal Measures for Iris Recognition
inferredcites →https://doi.org/10.1109/tpami.2010.227openalex-snapshot
Iris Matching Based on Personalized Weight Map
inferredcites →https://doi.org/10.1109/tpami.2011.34openalex-snapshot
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations
inferredcites →https://doi.org/10.1109/tpami.2013.98openalex-snapshot
Cross-Sensor Iris Recognition through Kernel Learning
inferredcites →https://doi.org/10.1145/15886.15903openalex-snapshot
Free-form deformation of solid geometric models
inferredcites →https://doi.org/10.1145/15922.15903openalex-snapshot
Free-form deformation of solid geometric models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-33676-9_19openalex-snapshot
Iris Verification with Convolutional Neural Network and Unit-Circle Layer
inferred← citeshttps://doi.org/10.1007/978-3-030-39489-9_11openalex-snapshot
Iris Recognition on Mobile: Real-Time Feature Extraction and Matching in the Wild
inferred← citeshttps://doi.org/10.1007/978-3-031-27077-2_3openalex-snapshot
Toward More Accurate Heterogeneous Iris Recognition with Transformers and Capsules
inferred← citeshttps://doi.org/10.1007/978-3-031-81596-6_28openalex-snapshot
Pupil Constrictions and Dilations Effects as Data Augmentation on an Iris Recognition CNN Approach
inferred← citeshttps://doi.org/10.1007/s00521-023-08800-wopenalex-snapshot
Structure correlation-aware attention for Iris recognition
inferred← citeshttps://doi.org/10.1007/s10462-021-10028-wopenalex-snapshot
Ocular recognition databases and competitions: a survey
inferred← citeshttps://doi.org/10.1007/s11042-020-10384-9openalex-snapshot
A comparison among keyframe extraction techniques for CNN classification based on video periocular images
inferred← citeshttps://doi.org/10.1007/s11063-025-11731-3openalex-snapshot
ORCNet: A Context-Based Network to Simultaneously Segment the Ocular Region Components
inferred← citeshttps://doi.org/10.1007/s11227-023-05445-3openalex-snapshot
Lifelong iris presentation attack detection without forgetting
inferred← citeshttps://doi.org/10.1016/j.cviu.2019.07.007openalex-snapshot
Non-ideal iris segmentation using Polar Spline RANSAC and illumination compensation
inferred← citeshttps://doi.org/10.1049/iet-bmt.2019.0116openalex-snapshot
Deep representations for cross‐spectral ocular biometrics
inferred← citeshttps://doi.org/10.1049/sil2/2013549openalex-snapshot
Weak Preprocessing Iris Feature Matching Based on Bipartite Graph
inferred← citeshttps://doi.org/10.1109/btas.2018.8698562openalex-snapshot
From the Perspective of CNN to Adversarial Iris Images
inferred← citeshttps://doi.org/10.1109/btas46853.2019.9185978openalex-snapshot
Deep Learning-Based Feature Extraction in Iris Recognition: Use Existing Models, Fine-tune or Train From Scratch?
inferred← citeshttps://doi.org/10.1109/cvprw.2019.00283openalex-snapshot
Segmentation-Less and Non-Holistic Deep-Learning Frameworks for Iris Recognition
inferred← citeshttps://doi.org/10.1109/icb45273.2019.8987379openalex-snapshot
Iris Feature Extraction and Matching Method for Mobile Biometric Applications
inferred← citeshttps://doi.org/10.1109/sibgrapi.2018.00044openalex-snapshot
The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments
inferred← citeshttps://doi.org/10.1109/sibgrapi.2018.00068openalex-snapshot
Biometric Recognition in Surveillance Environments Using Master-Slave Architectures
inferred← citeshttps://doi.org/10.1109/smc.2018.00154openalex-snapshot
Robust Pupil Segmentation and Center Detection from Visible Light Images Using Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/tifs.2018.2833033openalex-snapshot
Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices
inferred← citeshttps://doi.org/10.1109/tifs.2018.2883853openalex-snapshot
A Reminiscence of “Mastermind”: Iris/Periocular Biometrics by “In-Set” CNN Iterative Analysis
inferred← citeshttps://doi.org/10.1109/tifs.2020.3029906openalex-snapshot
Deep Feature Collaboration for Challenging 3D Finger Knuckle Identification
inferred← citeshttps://doi.org/10.1109/tifs.2022.3214098openalex-snapshot
DeepGabor: A Learning-Based Framework to Augment IrisCodes Permanence
inferred← citeshttps://doi.org/10.1109/tifs.2022.3221897openalex-snapshot
Contextual Measures for Iris Recognition
inferred← citeshttps://doi.org/10.1109/tip.2020.2999211openalex-snapshot
Constrained Design of Deep Iris Networks
inferred← citeshttps://doi.org/10.1109/tpami.2022.3152857openalex-snapshot
Complex-Valued Iris Recognition Network
inferred← citeshttps://doi.org/10.1117/12.2594315openalex-snapshot
A deep-learning approach to pupillometry
inferred← citeshttps://doi.org/10.1145/3651306openalex-snapshot
Deep Learning for Iris Recognition: A Survey
inferred← citeshttps://doi.org/10.22214/ijraset.2018.4356openalex-snapshot
A Secure Access Policies Based Data Deduplication System
inferred← citeshttps://doi.org/10.22214/ijraset.2019.3080openalex-snapshot
A Secure Access Policies Based Data Deduplication SystemA Secure Access Policies Based Data Deduplication System
inferred← citeshttps://doi.org/10.32657/10356/151718openalex-snapshot
Designing adversarial signals against three deep learning and non-deep learning methods
inferred← citeshttps://doi.org/10.3390/s19040842openalex-snapshot
Deep Residual CNN-Based Ocular Recognition Based on Rough Pupil Detection in the Images by NIR Camera Sensor
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