research
∙
01/25/2023
Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-end Handwritten Document Recognition
Recent advances in handwritten text recognition enabled to recognize who...
share
research
∙
09/08/2022
Stochastic gradient descent with gradient estimator for categorical features
Categorical data are present in key areas such as health or supply chain...
research
∙
08/29/2022
Confidence Estimation for Object Detection in Document Images
Deep neural networks are becoming increasingly powerful and large and al...
research
∙
03/23/2022
Robust Text Line Detection in Historical Documents: Learning and Evaluation Methods
Text line segmentation is one of the key steps in historical document un...
research
∙
03/23/2022
DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition
Unconstrained handwritten document recognition is a challenging computer...
research
∙
09/17/2021
Including Keyword Position in Image-based Models for Act Segmentation of Historical Registers
The segmentation of complex images into semantic regions has seen a grow...
research
∙
02/17/2021
SPAN: a Simple Predict Align Network for Handwritten Paragraph Recognition
Unconstrained handwriting recognition is an essential task in document a...
research
∙
12/28/2020
Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks
In this paper, we introduce a fully convolutional network for the docume...
research
∙
12/09/2020
Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network
Unconstrained handwritten text recognition is a major step in most docum...
research
∙
12/09/2020
Have convolutions already made recurrence obsolete for unconstrained handwritten text recognition ?
Unconstrained handwritten text recognition remains an important challeng...
research
∙
12/07/2020
End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network
Unconstrained handwritten text recognition remains challenging for compu...
research
∙
01/23/2019
CTCModel: a Keras Model for Connectionist Temporal Classification
We report an extension of a Keras Model, called CTCModel, to perform the...
research
∙
08/28/2018
A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units
We address the design of a unified multilingual system for handwriting r...
research
∙
08/22/2018
A syllable based model for handwriting recognition
In this paper, we introduce a new modeling approach of texts for handwri...
research
∙
07/24/2017
LV-ROVER: Lexicon Verified Recognizer Output Voting Error Reduction
Offline handwritten text line recognition is a hard task that requires b...
research
∙
12/22/2016
Handwriting recognition using Cohort of LSTM and lexicon verification with extremely large lexicon
State-of-the-art methods for handwriting recognition are based on Long S...
research
∙
10/03/2012