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Convolutional Neural Network and BLSTM for Offline Arabic Handwriting Recognition

https://doi.org/10.1109/acit.2018.8672667

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What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4471-4072-6_12openalex-snapshot

Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networks

inferredcites →https://doi.org/10.1007/978-3-319-10578-9_23openalex-snapshot

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

inferredcites →https://doi.org/10.1007/978-3-319-41501-7_83openalex-snapshot

Recognition of Handwritten Arabic Words with Dropout Applied in MDLSTM

inferredcites →https://doi.org/10.1007/978-3-319-44781-0_51openalex-snapshot

Improving MDLSTM for Offline Arabic Handwriting Recognition Using Dropout at Different Positions

inferredcites →https://doi.org/10.1007/978-3-319-68121-4_17openalex-snapshot

Sentiment Analysis of Movie Reviews Based on CNN-BLSTM

inferredcites →https://doi.org/10.1007/978-3-319-94211-7_29openalex-snapshot

Convolutional Feature Learning and CNN Based HMM for Arabic Handwriting Recognition

inferredcites →https://doi.org/10.1007/978-3-642-24797-2openalex-snapshot

Supervised Sequence Labelling with Recurrent Neural Networks

inferredcites →https://doi.org/10.1007/s10032-013-0201-8openalex-snapshot

Effective technique for the recognition of offline Arabic handwritten words using hidden Markov models

inferredcites →https://doi.org/10.1007/s100320200071openalex-snapshot

The IAM-database: an English sentence database for offline handwriting recognition

inferredcites →https://doi.org/10.1016/j.jocs.2017.11.011openalex-snapshot

Deep learning for Arabic NLP: A survey

inferredcites →https://doi.org/10.1016/j.neucom.2015.07.135openalex-snapshot

Convolutional feature learning and Hybrid CNN-HMM for scene number recognition

inferredcites →https://doi.org/10.1016/j.neunet.2005.06.042openalex-snapshot

Framewise phoneme classification with bidirectional LSTM and other neural network architectures

inferredcites →https://doi.org/10.1016/j.procs.2016.05.512openalex-snapshot

A New Design Based-SVM of the CNN Classifier Architecture with Dropout for Offline Arabic Handwritten Recognition

inferredcites →https://doi.org/10.1109/78.650093openalex-snapshot

Bidirectional recurrent neural networks

inferredcites →https://doi.org/10.1109/aciiw.2017.8272614openalex-snapshot

Deep neural networks for anger detection from real life speech data

inferredcites →https://doi.org/10.1109/cvpr.2014.220openalex-snapshot

DeepFace: Closing the Gap to Human-Level Performance in Face Verification

inferredcites →https://doi.org/10.1109/cvpr.2014.244openalex-snapshot

Deep Learning Face Representation from Predicting 10,000 Classes

inferredcites →https://doi.org/10.1109/cvpr.2015.7298878openalex-snapshot

Long-term recurrent convolutional networks for visual recognition and description

inferredcites →https://doi.org/10.1109/das.2016.49openalex-snapshot

Online Arabic Handwriting Recognition with Dropout Applied in Deep Recurrent Neural Networks

inferredcites →https://doi.org/10.1109/icassp.2013.6638083openalex-snapshot

Tandem HMM with convolutional neural network for handwritten word recognition

inferredcites →https://doi.org/10.1109/icdar.2011.287openalex-snapshot

ICDAR 2011 - Arabic Handwriting Recognition Competition

inferredcites →https://doi.org/10.1109/icfhr.2016.0046openalex-snapshot

On the Benefits of Convolutional Neural Network Combinations in Offline Handwriting Recognition

inferredcites →https://doi.org/10.1109/tpami.1987.4767970openalex-snapshot

A Method of Recognition of Arabic Cursive Handwriting

inferredcites →https://doi.org/10.1109/tpami.2006.102openalex-snapshot

Offline Arabic handwriting recognition: a survey

inferredcites →https://doi.org/10.1145/1143844.1143891openalex-snapshot

Connectionist temporal classification

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

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.21437/interspeech.2012-65openalex-snapshot

LSTM neural networks for language modeling

inferredcites →https://doi.org/10.21437/interspeech.2016-324openalex-snapshot

Combining CNN and BLSTM to Extract Textual and Acoustic Features for Recognizing Stances in Mandarin Ideological Debate Competition

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

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1409.3505openalex-snapshot

DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection

inferredcites →https://doi.org/10.48550/arxiv.1601.05610openalex-snapshot

Reading Car License Plates Using Deep Convolutional Neural Networks and LSTMs

inferredcites →https://doi.org/10.5220/0006598804320439openalex-snapshot

Transfer Learning for Handwriting Recognition on Historical Documents

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4482719openalex-extracted

A Comparative Analysis of Two Arabic Handwritten Datasets Using Pretrained Deep Learning Models

inferred← citeshttps://doi.org/10.1007/978-3-030-36056-6_34openalex-snapshot

Survey of Offline Arabic Handwriting Word Recognition

inferred← citeshttps://doi.org/10.1007/978-3-030-36718-3_45openalex-snapshot

Maxout into MDLSTM for Offline Arabic Handwriting Recognition

inferred← citeshttps://doi.org/10.1007/978-3-030-49342-4_37openalex-snapshot

ReLU to Enhance MDLSTM for Offline Arabic Handwriting Recognition

inferred← citeshttps://doi.org/10.1007/978-3-030-70713-2_100openalex-snapshot

Handwritten Arabic Character Recognition: Comparison of Conventional Machine Learning and Deep Learning Approaches

inferred← citeshttps://doi.org/10.1007/978-3-030-96311-8_15openalex-snapshot

Recognizing Arabic Handwritten Literal Amount Using Convolutional Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-16210-7_23openalex-snapshot

Arabic Handwritten Character Recognition Based on Convolution Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-80438-0_11openalex-snapshot

Enhancing Arabic Handwritten Recognition System Based CNN-BLSTM Using Generative Adversarial Networks

inferred← citeshttps://doi.org/10.1007/s00521-020-05070-8openalex-snapshot

Arabic handwriting recognition system using convolutional neural network

inferred← citeshttps://doi.org/10.1007/s10032-025-00545-7openalex-snapshot

Towards the digitization of Kurdish handwritten script using deep learning: a comprehensive analysis

inferred← citeshttps://doi.org/10.1007/s11042-020-09923-1openalex-snapshot

Two streams deep neural network for handwriting word recognition

inferred← citeshttps://doi.org/10.1007/s11042-022-12339-8openalex-snapshot

New MDLSTM-based designs with data augmentation for offline Arabic handwriting recognition

inferred← citeshttps://doi.org/10.1007/s11063-024-11544-wopenalex-snapshot

CNN-based Methods for Offline Arabic Handwriting Recognition: A Review

inferred← citeshttps://doi.org/10.1007/s11263-026-02773-8openalex-snapshot

Handwritten Arabic Text Recognition: A Review of Recent Trends and Future Direction

inferred← citeshttps://doi.org/10.1007/s13369-021-05796-0openalex-snapshot

Conditional Deep Convolutional Generative Adversarial Networks for Isolated Handwritten Arabic Character Generation

inferred← citeshttps://doi.org/10.1007/s13369-021-06363-3openalex-snapshot

Arabic Handwritten Recognition Using Deep Learning: A Survey

inferred← citeshttps://doi.org/10.1007/s42452-025-06952-zopenalex-snapshot

Enhancing Arabic handwritten word recognition: a CNN-BiLSTM-CTC architecture with attention mechanism and adaptive augmentation

inferred← citeshttps://doi.org/10.1016/j.patcog.2019.107144openalex-snapshot

Automatic processing of Historical Arabic Documents: A comprehensive Survey

inferred← citeshttps://doi.org/10.1080/0954898x.2024.2359610openalex-snapshot

Speaker-based language identification for Ethio-Semitic languages using CRNN and hybrid features

inferred← citeshttps://doi.org/10.1109/access.2020.2994248openalex-snapshot

Exploring Deep Learning Approaches to Recognize Handwritten Arabic Texts

inferred← citeshttps://doi.org/10.1109/access.2020.2994290openalex-snapshot

Comparative Study on Deep Convolution Neural Networks DCNN-Based Offline Arabic Handwriting Recognition

inferred← citeshttps://doi.org/10.1109/access.2021.3053618openalex-snapshot

Deep Sparse Auto-Encoder Features Learning for Arabic Text Recognition

inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9411989openalex-snapshot

Cross-People Mobile-Phone Based Airwriting Character Recognition

inferred← citeshttps://doi.org/10.1117/1.jei.31.6.063059openalex-snapshot

Improving end-to-end deep learning methods for Arabic handwriting recognition

inferred← citeshttps://doi.org/10.1142/s0219467822500152openalex-snapshot

Histogram of Marked Background (HMB) Feature Extraction Method for Arabic Handwriting Recognition

inferred← citeshttps://doi.org/10.1145/3474391openalex-snapshot

Arabic Handwritten Word Recognition Based on Stationary Wavelet Transform Technique using Machine Learning

inferred← citeshttps://doi.org/10.1145/3744243openalex-snapshot

Towards Accurate Recognition of Historical Arabic Manuscripts: A Novel Dataset and a Generalizable Pipeline

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140165openalex-snapshot

A Novel Hybrid DL Model for Printed Arabic Word Recognition based on GAN

inferred← citeshttps://doi.org/10.21203/rs.3.rs-10056584/v1openalex-snapshot

DeepNeutroBiLSTM: A Hybrid Neutrosophic and CNN-BiLSTM Framework with Sobel-Based Indeterminacy for Arabic Handwritten Character Recognition

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2883455/v1openalex-snapshot

Text line and word detection and recognition of historical Arabic manuscripts

inferred← citeshttps://doi.org/10.22630/mgv.2022.31.1.3openalex-snapshot

Attention-based deep learning model for Arabic handwritten text recognition

inferred← citeshttps://doi.org/10.24018/ejai.2024.3.1.36openalex-snapshot

Enhancing Arabic Handwritten Recognition System-Based CNN-BLSTM Using Generative Adversarial Networks

inferred← citeshttps://doi.org/10.32628/cseit2064126openalex-snapshot

CNN-Bidirectional LSTM Based Optical Character Recognition of Sanskrit Manuscripts : A Comprehensive Systematic Literature Review

inferred← citeshttps://doi.org/10.3390/e23030340openalex-snapshot

Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts

inferred← citeshttps://doi.org/10.3390/math12142256openalex-snapshot

End-to-End Deep Learning Framework for Arabic Handwritten Legal Amount Recognition and Digital Courtesy Conversion

inferred← citeshttps://doi.org/10.53730/ijhs.v6ns1.7918openalex-snapshot

OCR for Arabic character recognition with advanced principal component analysis based on feature extraction and fuzzy-KNN based classification

inferred← citeshttps://doi.org/10.57197/jdr-2024-0080openalex-snapshot

Designing a Novel CNN–LSTM-based Model for Arabic Handwritten Character Recognition for the Visually Impaired Person

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Arabic Handwritten Recognition Using Hybrid CNN, HMM and an Intelligent Network Based on Dentate Gyrus of the Brain

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