On the public citation graph

CAPTCHA Recognition Using Deep Learning with Attached Binary Images

0 signed · 79 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/3-540-39200-9openalex-snapshot
Advances in Cryptology — EUROCRYPT 2003
inferredcites →https://doi.org/10.1007/978-981-13-1733-0_5openalex-snapshot
Real-Time Vehicle License Plate Recognition Using Deep Learning
inferredcites →https://doi.org/10.1007/978-981-13-1733-0_8openalex-snapshot
License Plate Segmentation Method Using Deep Learning Techniques
inferredcites →https://doi.org/10.1007/978-981-13-1733-0_9openalex-snapshot
License Plate Detection and Recognition Based on the YOLO Detector and CRNN-12
inferredcites →https://doi.org/10.1007/978-981-13-6508-9_16openalex-snapshot
Robust Model for Chinese License Plate Character Recognition Using Deep Learning Techniques
inferredcites →https://doi.org/10.1109/access.2019.2899044openalex-snapshot
Selective Learning Confusion Class for Text-Based CAPTCHA Recognition
inferredcites →https://doi.org/10.1109/access.2020.2982945openalex-snapshot
Simple and Easy: Transfer Learning-Based Attacks to Text CAPTCHA
inferredcites →https://doi.org/10.1109/aset.2018.8379889openalex-snapshot
Convolutional neural networks for image classification
inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot
YOLO9000: Better, Faster, Stronger
inferredcites →https://doi.org/10.1109/iccsn.2016.7586608openalex-snapshot
Recognition based segmentation of connected characters in text based CAPTCHAs
inferredcites →https://doi.org/10.1109/iccsn.2017.8230294openalex-snapshot
Captcha automatic segmentation and recognition based on improved vertical projection
inferredcites →https://doi.org/10.1109/icdar.2017.216openalex-snapshot
A Multi-Label Neural Network Approach to Solving Connected CAPTCHAs
inferredcites →https://doi.org/10.1109/icece.2014.7026925openalex-snapshot
Bangla license plate reader for metropolitan cities of Bangladesh using template matching
inferredcites →https://doi.org/10.1109/iciea.2018.8397789openalex-snapshot
A CAPTCHA recognition technology based on deep learning
inferredcites →https://doi.org/10.1109/iciiecs.2017.8275893openalex-snapshot
Automatic car number plate recognition
inferredcites →https://doi.org/10.1109/icip.2019.8803765openalex-snapshot
Llrnet: A Multiscale Subband Learning Approach for Low Light Image Restoration
inferredcites →https://doi.org/10.1109/icsess.2017.8343061openalex-snapshot
License plate recognition via convolutional neural networks
inferredcites →https://doi.org/10.1109/iih-msp.2014.105openalex-snapshot
A Study on Captcha Recognition
inferredcites →https://doi.org/10.1109/iscbi.2016.7743288openalex-snapshot
Automatic license plate recognition using extracted features
inferredcites →https://doi.org/10.1109/iscid.2018.10128openalex-snapshot
An Improved Faster R-CNN for Object Detection
inferredcites →https://doi.org/10.1109/jictee.2014.6804098openalex-snapshot
Analysis of text-based CAPTCHA images using Template Matching Correlation technique
inferredcites →https://doi.org/10.1109/tdsc.2020.2971477openalex-snapshot
A Security Analysis of Captchas with Large Character Sets
inferredcites →https://doi.org/10.1109/tifs.2017.2682704openalex-snapshot
Research on the Security of Microsoft’s Two-Layer Captcha
inferredcites →https://doi.org/10.1109/tifs.2018.2821096openalex-snapshot
Research on Deep Learning Techniques in Breaking Text-Based Captchas and Designing Image-Based Captcha
inferredcites →https://doi.org/10.1109/tifs.2019.2928622openalex-snapshot
An End-to-End Attack on Text CAPTCHAs
inferredcites →https://doi.org/10.1109/tits.2008.922938openalex-snapshot
License Plate Recognition From Still Images and Video Sequences: A Survey
inferredcites →https://doi.org/10.1109/tmm.2019.2938340openalex-snapshot
A Flexible Deep CNN Framework for Image Restoration
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2016.2646371openalex-snapshot
An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition
inferredcites →https://doi.org/10.1109/tpami.2018.2873610openalex-snapshot
Denoising Prior Driven Deep Neural Network for Image Restoration
inferredcites →https://doi.org/10.1145/1054972.1055070openalex-snapshot
Designing human friendly human interaction proofs (HIPs)
inferredcites →https://doi.org/10.1145/1143844.1143891openalex-snapshot
Connectionist temporal classification
inferredcites →https://doi.org/10.1145/2046707.2046724openalex-snapshot
Text-based CAPTCHA strengths and weaknesses
inferredcites →https://doi.org/10.1145/2508859.2516732openalex-snapshot
The robustness of hollow CAPTCHAs
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3243734.3243754openalex-snapshot
Yet Another Text Captcha Solver
inferredcites →https://doi.org/10.1145/966389.966390openalex-snapshot
Telling humans and computers apart automatically

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-15168-2_10openalex-snapshot
Text CAPTCHA Traversal via Knowledge Distillation of Convolutional Neural Networks: Exploring the Impact of Color Channels Selection
inferred← citeshttps://doi.org/10.1007/s11042-023-16166-3openalex-snapshot
Challenges and opportunities for Arabic CAPTCHAs
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2021.107593openalex-snapshot
De-CAPTCHA: A novel DFS based approach to solve CAPTCHA schemes
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124510openalex-snapshot
ReLU-oscillator: Chaotic VGG10 model for real-time neural style transfer on painting authentication
inferred← citeshttps://doi.org/10.1016/j.visinf.2025.100239openalex-snapshot
Photogrammetry engaged automated image labeling approach
inferred← citeshttps://doi.org/10.1109/access.2026.3732194openalex-snapshot
Toward Robust CAPTCHA Design: A Multi-Agent Curriculum Learning Approach With Calibration and Fairness Analysis
inferred← citeshttps://doi.org/10.1109/ccic68129.2026.11486110openalex-snapshot
Distortion-Aware Captcha Recognition Using a CNN Inversion Module
inferred← citeshttps://doi.org/10.1109/i3ceet61722.2024.10994005openalex-snapshot
Analysis of Text-CAPTCHA Using Machine Learning
inferred← citeshttps://doi.org/10.1109/iccsdfai70505.2026.11647874openalex-snapshot
Behavior-Based Risk Scoring for Adaptive CAPTCHA: Design and Preliminary Evaluation
inferred← citeshttps://doi.org/10.1109/iceeie59078.2023.10334798openalex-snapshot
CNN Image Classification Model Comparison Between Single-Label and Multi-Label CAPTCHA Dataset
inferred← citeshttps://doi.org/10.1109/iicccs61609.2024.10763718openalex-snapshot
Unveiling CAPTCHAs: Advanced CNN Techniques for High-Accuracy Recognition
inferred← citeshttps://doi.org/10.1109/indicon59947.2023.10440750openalex-snapshot
Exploring self-supervised learning in Multiview captcha recognition
inferred← citeshttps://doi.org/10.1109/infocomwkshps54753.2022.9798233openalex-snapshot
Deep CAPTCHA Recognition Using Encapsulated Preprocessing and Heterogeneous Datasets
inferred← citeshttps://doi.org/10.1109/reepe53907.2022.9731423openalex-snapshot
Text CAPTCHA Traversal with ConvNets: Impact of Color Channels
inferred← citeshttps://doi.org/10.1111/exsy.13658openalex-snapshot
ImageVeriBypasser : An image verification code recognition approach based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.1117/12.2637494openalex-snapshot
Configurable image recognition framework design based on KNN and bit-based similarity model
inferred← citeshttps://doi.org/10.1145/3660853.3660927openalex-snapshot
Image-Based CAPTCHA Recognition Using Deep Learning Models
inferred← citeshttps://doi.org/10.1145/3674225.3674309openalex-snapshot
Research on thermal safety verification code recognition based on SENet and CTC networks
inferred← citeshttps://doi.org/10.13052/jcsm2245-1439.1115openalex-snapshot
An Enhanced Sybil Guard to Detect Bots in Online Social Networks
inferred← citeshttps://doi.org/10.32604/cmc.2025.062729openalex-snapshot
A Novel CAPTCHA Recognition System Based on Refined Visual Attention
inferred← citeshttps://doi.org/10.32604/cmes.2025.059586openalex-snapshot
A Dual-Layer Attention Based CAPTCHA Recognition Approach with Guided Visual Attention
inferred← citeshttps://doi.org/10.3390/app13074602openalex-snapshot
A Survey on Adversarial Perturbations and Attacks on CAPTCHAs
inferred← citeshttps://doi.org/10.3390/electronics10040480openalex-snapshot
An Efficient and Accurate Depth-Wise Separable Convolutional Neural Network for Cybersecurity Vulnerability Assessment Based on CAPTCHA Breaking
inferred← citeshttps://doi.org/10.3390/electronics10151798openalex-snapshot
Securing IoT Devices: A Robust and Efficient Deep Learning with a Mixed Batch Adversarial Generation Process for CAPTCHA Security Verification
inferred← citeshttps://doi.org/10.3390/math13111861openalex-snapshot
Style Transfer and Topological Feature Analysis of Text-Based CAPTCHA via Generative Adversarial Networks
inferred← citeshttps://doi.org/10.3390/s23239487openalex-snapshot
Deep Learning Based CAPTCHA Recognition Network with Grouping Strategy
inferred← citeshttps://doi.org/10.46604/ijeti.2024.13977openalex-snapshot
FEGAN: A High-Performance Font Enhancement Network for Text CAPTCHA Preprocessing
inferred← citeshttps://doi.org/10.52458/978-81-955020-5-9-10openalex-snapshot
Recognition Of CAPTCHA Characters Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.5815/ijisa.2025.03.01openalex-snapshot
Robust, Interactive, and Intelligent Captcha Model Based on Image Processing
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.1/reviews/1openalex-snapshot
Peer Review #1 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.1/reviews/2openalex-snapshot
Peer Review #2 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.1/reviews/3openalex-snapshot
Peer Review #3 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.2/reviews/1openalex-snapshot
Peer Review #1 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.2/reviews/2openalex-snapshot
Peer Review #2 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.2/reviews/3openalex-snapshot
Peer Review #3 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.2/reviews/4openalex-snapshot
Peer Review #4 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.2/reviews/5openalex-snapshot
Peer Review #5 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.3/reviews/2openalex-snapshot
Peer Review #2 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.3/reviews/4openalex-snapshot
Peer Review #4 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.3/reviews/5openalex-snapshot
Peer Review #5 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.4/reviews/4openalex-snapshot
Peer Review #4 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.4)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.879openalex-snapshot
A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.