Handwriting Recognition
50 papers with code • 3 benchmarks • 20 datasets
Benchmarks
These leaderboards are used to track progress in Handwriting Recognition
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Libraries
Use these libraries to find Handwriting Recognition models and implementations
IAM
DeepWriting
RIMES
HKR
Bentham
KOHTD
Schiller
Ricordi
Latest papers with no code
An inclusive review on deep learning techniques and their scope in handwriting recognition
This paper presents a survey on the existing studies of deep learning in handwriting recognition field.
Representing Online Handwriting for Recognition in Large Vision-Language Models
In this paper, we study online handwriting recognition with VLMs, going beyond naive OCR.
Bayesian Federated Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing
In this work, we propose a message passing based Bayesian federated learning (BFL) framework to avoid these drawbacks. Specifically, we formulate the problem of deep neural network (DNN) learning and compression and as a sparse Bayesian inference problem, in which group sparse prior is employed to achieve structured model compression.
Impact of Ground Truth Quality on Handwriting Recognition
Handwriting recognition is a key technology for accessing the content of old manuscripts, helping to preserve cultural heritage.
Offline Detection of Misspelled Handwritten Words by Convolving Recognition Model Features with Text Labels
Offline handwriting recognition (HWR) has improved significantly with the advent of deep learning architectures in recent years.
A Transformer-based Approach for Arabic Offline Handwritten Text Recognition
Existing approaches typically utilize a combination of convolutional neural networks for image feature extraction and recurrent neural networks for temporal modeling, with connectionist temporal classification used for text generation.
Does color modalities affect handwriting recognition? An empirical study on Persian handwritings using convolutional neural networks
To answer this question, we selected 13, 330 isolated digits and 62, 500 words from a novel Persian handwritten database, which have three different color modalities and are unique in term of size and variety.
A Dataset of Inertial Measurement Units for Handwritten English Alphabets
This paper presents an end-to-end methodology for collecting datasets to recognize handwritten English alphabets by utilizing Inertial Measurement Units (IMUs) and leveraging the diversity present in the Indian writing style.
CNN-BiLSTM model for English Handwriting Recognition: Comprehensive Evaluation on the IAM Dataset
Test time augmentation with rotation and shear transformations applied to the input image, is proposed to increase recognition of difficult cases and found to reduce the word error rate by 2. 5\% points.
CENSUS-HWR: a large training dataset for offline handwriting recognition
Progress in Automated Handwriting Recognition has been hampered by the lack of large training datasets.
