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Handwritten Text Recognition Using Deep Learning:A Comprehensive Review

https://doi.org/10.2139/ssrn.4615083
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What this work says

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

inferredcites →https://doi.org/10.1016/j.mlwa.2021.100037openalex-extracted
Online handwritten Gurmukhi word recognition using fine-tuned Deep Convolutional Neural Network on offline features
inferredcites →https://doi.org/10.1016/j.patrec.2019.08.005openalex-extracted
Radical aggregation network for few-shot offline handwritten Chinese character recognition
inferredcites →https://doi.org/10.1016/j.patrec.2023.08.007openalex-extracted
Text line extraction strategy for palm leaf manuscripts
inferredcites →https://doi.org/10.1016/j.procs.2020.01.034openalex-extracted
Handwriting Analysis based on Histogram of Oriented Gradient for Predicting Personality traits using SVM
inferredcites →https://doi.org/10.1016/j.procs.2022.01.093openalex-extracted
A robust cross-ethnic digital handwriting recognition method based on deep learning
inferredcites →https://doi.org/10.1109/access.2018.2795104openalex-extracted
Multilingual Character Segmentation and Recognition Schemes for Indian Document Images
inferredcites →https://doi.org/10.1109/access.2018.2881050openalex-extracted
A Novel Method for Recognition of Persian Alphabet by Using Fuzzy Neural Network
inferredcites →https://doi.org/10.1109/access.2019.2911851openalex-extracted
Unknown-Length Handwritten Numeral String Recognition Using Cascade of PCA-SVMNet Classifiers
inferredcites →https://doi.org/10.1109/access.2019.2924449openalex-extracted
A Human-Inspired Recognition System for Pre-Modern Japanese Historical Documents
inferredcites →https://doi.org/10.1109/access.2019.2930799openalex-extracted
Recognition of Handwritten Chinese Characters Based on Concept Learning
inferredcites →https://doi.org/10.1109/access.2019.2945825openalex-extracted
Detecting Mathematical Expressions in Scientific Document Images Using a U-Net Trained on a Diverse Dataset
inferredcites →https://doi.org/10.1109/access.2019.2963565openalex-extracted
Dimensionality Reduction Method for 3D-Handwritten Characters Based on Oriented Bounding Boxes
inferredcites →https://doi.org/10.1109/access.2020.2970438openalex-extracted
Handwritten Arabic Optical Character Recognition Approach Based on Hybrid Whale Optimization Algorithm With Neighborhood Rough Set
inferredcites →https://doi.org/10.1109/access.2020.2974051openalex-extracted
Two-Step CNN Framework for Text Line Recognition in Camera-Captured Images
inferredcites →https://doi.org/10.1109/access.2020.2979346openalex-extracted
Multi-Feature Learning by Joint Training for Handwritten Formula Symbol Recognition
inferredcites →https://doi.org/10.1109/access.2020.2984627openalex-extracted
Stroke Extraction for Offline Handwritten Mathematical Expression Recognition
inferredcites →https://doi.org/10.1109/access.2020.2994214openalex-extracted
Urdu-Text Detection and Recognition in Natural Scene Images Using Deep Learning
inferredcites →https://doi.org/10.1109/access.2020.2994290openalex-extracted
Comparative Study on Deep Convolution Neural Networks DCNN-Based Offline Arabic Handwriting Recognition
inferredcites →https://doi.org/10.1109/access.2020.3000829openalex-extracted
Deep Convolutional Self-Organizing Map Network for Robust Handwritten Digit Recognition
inferredcites →https://doi.org/10.1109/access.2020.3010639openalex-extracted
Immediate Presence of Handwritten Annotation on Moving Picture in Real-Time Collaborative System
inferredcites →https://doi.org/10.1109/access.2020.3036545openalex-extracted
TSER: A Two-Stage Character Segmentation Network With Two-Stream Attention and Edge Refinement
inferredcites →https://doi.org/10.1109/access.2020.3039003openalex-extracted
HDSR-Flor: A Robust End-to-End System to Solve the Handwritten Digit String Recognition Problem in Real Complex Scenarios
inferredcites →https://doi.org/10.1109/access.2020.3040298openalex-extracted
Pattern Separation Network Based on the Hippocampus Activity for Handwritten Recognition
inferredcites →https://doi.org/10.1109/access.2021.3053618openalex-extracted
Deep Sparse Auto-Encoder Features Learning for Arabic Text Recognition
inferredcites →https://doi.org/10.1109/access.2021.3066477openalex-extracted
Arabic Documents Information Retrieval for Printed, Handwritten, and Calligraphy Image
inferredcites →https://doi.org/10.1109/access.2021.3082689openalex-extracted
Boosting Offline Handwritten Text Recognition in Historical Documents With Few Labeled Lines
inferredcites →https://doi.org/10.1109/access.2021.3087647openalex-extracted
A Hybrid Deep Model for Recognizing Arabic Handwritten Characters
inferredcites →https://doi.org/10.1109/access.2021.3099427openalex-extracted
FCN-LectureNet: Extractive Summarization of Whiteboard and Chalkboard Lecture Videos
inferredcites →https://doi.org/10.1109/access.2021.3115606openalex-extracted
A Residual-Attention Offline Handwritten Chinese Text Recognition Based on Fully Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/access.2021.3123726openalex-extracted
Real-Time Pashto Handwritten Character Recognition Using Salient Geometric and Spectral Features
inferredcites →https://doi.org/10.1109/access.2022.3144844openalex-extracted
Cursive Text Recognition in Natural Scene Images Using Deep Convolutional Recurrent Neural Network
inferredcites →https://doi.org/10.1109/access.2022.3191429openalex-extracted
DKNet: Deep Kuzushiji Characters Recognition Network
inferredcites →https://doi.org/10.1109/access.2022.3201560openalex-extracted
DeblurGAN-CNN: Effective Image Denoising and Recognition for Noisy Handwritten Characters
inferredcites →https://doi.org/10.1109/access.2022.3208959openalex-extracted
Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet
inferredcites →https://doi.org/10.1109/access.2023.3248508openalex-extracted
TILPDeep: A Lightweight Deep Learning Technique for Handwritten Transformed Invariant Pashto Text Recognition
inferredcites →https://doi.org/10.1109/access.2023.3249787openalex-extracted
Handwritten Gujarati Numerals Classification Based on Deep Convolution Neural Networks Using Transfer Learning Scenarios
inferredcites →https://doi.org/10.1109/access.2023.3270895openalex-extracted
End-To-End Deep-Learning-Based Tamil Handwritten Document Recognition and Classification Model
inferredcites →https://doi.org/10.1109/access.2023.3277392openalex-extracted
Deep Learning Model for Recognition of Handwritten Devanagari Numerals With Low Computational Complexity and Space Requirements
inferredcites →https://doi.org/10.1109/access.2023.3294566openalex-extracted
Handwritten Pattern Recognition Using Birds-Flocking Inspired Data Augmentation Technique
inferredcites →https://doi.org/10.1109/tmm.2020.3025696openalex-extracted
LCSegNet: An Efficient Semantic Segmentation Network for Large-Scale Complex Chinese Character Recognition
inferredcites →https://doi.org/10.1109/tmm.2021.3087000openalex-extracted
Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams
inferredcites →https://doi.org/10.1109/tmm.2022.3143324openalex-extracted
Fast and Robust Online Handwritten Chinese Character Recognition With Deep Spatial and Contextual Information Fusion Network
inferredcites →https://doi.org/10.1109/tpami.2023.3235826openalex-extracted
DAN: A Segmentation-Free Document Attention Network for Handwritten Document Recognition
inferredcites →https://doi.org/10.22541/au.166853519.97943860/v1openalex-extracted
inferredcites →https://doi.org/10.26438/ijcse/v7i2.17openalex-extracted
Handwritten Hindi Character Recognition using Deep Learning Techniques
inferredcites →https://doi.org/10.3390/s20123344openalex-extracted
Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN)
inferredcites →https://doi.org/10.48550/arxiv.1905.05377openalex-extracted

What points at this work

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

inferred← citeshttps://doi.org/10.1109/icccis60361.2023.10425592openalex-snapshot
Predicting Gender and Age from Gurmukhi Handwriting Samples using Convolutional Neural Networks
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