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Classification of Genetically Identical Left and Right Irises Using a Convolutional Neural Network

https://doi.org/10.3390/electronics8101109

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11608288_55openalex-snapshot

Global Texture Analysis of Iris Images for Ethnic Classification

inferredcites →https://doi.org/10.1007/978-3-319-10590-1_54openalex-snapshot

Part-Based R-CNNs for Fine-Grained Category Detection

inferredcites →https://doi.org/10.1007/978-3-642-25449-9_11openalex-snapshot

Ethnic Classification Based on Iris Images

inferredcites →https://doi.org/10.1007/s10044-017-0656-1openalex-snapshot

A multi-biometric iris recognition system based on a deep learning approach

inferredcites →https://doi.org/10.1016/j.cviu.2007.08.005openalex-snapshot

Image understanding for iris biometrics: A survey

inferredcites →https://doi.org/10.1016/j.cviu.2011.06.010openalex-snapshot

Genetically identical irises have texture similarity that is not detected by iris biometrics

inferredcites →https://doi.org/10.1016/j.patrec.2015.09.016openalex-snapshot

DeepIris: Learning pairwise filter bank for heterogeneous iris verification

inferredcites →https://doi.org/10.1016/j.patrec.2016.02.001openalex-snapshot

Iris recognition through machine learning techniques: A survey

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/access.2017.2784352openalex-snapshot

Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective

inferredcites →https://doi.org/10.1109/access.2018.2886275openalex-snapshot

Analyzing Covariate Influence on Gender and Race Prediction From Near-Infrared Ocular Images

inferredcites →https://doi.org/10.1109/acpr.2015.7486599openalex-snapshot

Very deep convolutional neural network based image classification using small training sample size

inferredcites →https://doi.org/10.1109/btas.2007.4401911openalex-snapshot

Learning to predict gender from iris images

inferredcites →https://doi.org/10.1109/ccwc.2018.8301729openalex-snapshot

Compressed residual-VGG16 CNN model for big data places image recognition

inferredcites →https://doi.org/10.1109/cvprw.2010.5543237openalex-snapshot

Similarity of iris texture between identical twins

inferredcites →https://doi.org/10.1109/iccv.2019.00266openalex-snapshot

Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization

inferredcites →https://doi.org/10.1109/icip.2007.4379178openalex-snapshot

Learning Appearance Primitives of Iris Images for Ethnic Classification

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/icmla.2012.94openalex-snapshot

Artificial Neural Network for Prediction of Ethnicity Based on Iris Texture

inferredcites →https://doi.org/10.1109/spmb.2016.7846859openalex-snapshot

An experimental study of deep convolutional features for iris recognition

inferredcites →https://doi.org/10.1109/tcsvt.2003.818350openalex-snapshot

How Iris Recognition Works

inferredcites →https://doi.org/10.1109/ths.2011.6107909openalex-snapshot

Predicting ethnicity and gender from iris texture

inferredcites →https://doi.org/10.1109/tifs.2016.2550418openalex-snapshot

Gender Classification From the Same Iris Code Used for Recognition

inferredcites →https://doi.org/10.1109/tpami.2013.234openalex-snapshot

Iris Image Classification Based on Hierarchical Visual Codebook

inferredcites →https://doi.org/10.1111/j.1755-148x.2009.00606.xopenalex-snapshot

Genetics of human iris colour and patterns

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s11548-020-02266-0openalex-snapshot

Bone age assessment based on deep convolution neural network incorporated with segmentation

inferred← citeshttps://doi.org/10.1109/icds50568.2020.9268737openalex-snapshot

A Multi Biometric System Based On The Right Iris And The Left Iris Using The Combination Of Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1109/icitams57610.2023.10525505openalex-snapshot

Survey on Human Gender Classification Using Biometric Information

inferred← citeshttps://doi.org/10.21533/pen.v9.i4.1006openalex-snapshot

Survey on encode biometric data for transmission in wireless communication networks

inferred← citeshttps://doi.org/10.25271/sjuoz.2022.10.4.1039openalex-snapshot

A Study of Gender Classification Techniques Based on Iris Images: A Deep Survey and Analysis

inferred← citeshttps://doi.org/10.2991/ijcis.d.200721.001openalex-snapshot

Novel Optimization Based Hybrid Self-Organizing Map Classifiers for Iris Image Recognition

inferred← citeshttps://doi.org/10.3390/electronics10030241openalex-snapshot

Architecture Design for Feature Extraction and Template Matching in a Real-Time Iris Recognition System

inferred← citeshttps://doi.org/10.3390/electronics10091097openalex-snapshot

Recent Advances in Biometrics and Its Applications

inferred← citeshttps://doi.org/10.3390/electronics9030427openalex-snapshot

Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis

inferred← citeshttps://doi.org/10.3390/electronics9030445openalex-snapshot

Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

inferred← citeshttps://doi.org/10.35219/ann-ugal-math-phys-mec.2023.1.03openalex-snapshot

Retina image assessment for microstructural difference detection

inferred← citeshttps://doi.org/10.4018/ijoci.305210openalex-snapshot

Multi-Biometric Iris Recognition System Using Consensus Between Convolutional Neural Network Architectures

inferred← citeshttps://doi.org/10.48161/qaj.v1n2a63openalex-snapshot

Gender Classification Based on Iris Recognition Using Artificial Neural Networks

inferred← citeshttps://doi.org/10.51519/journalisi.v5i4.629openalex-snapshot

Machine Learning Approach for Classification of Sickle Cell Anemia in Teenagers Based on Bayesian Network

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