This system has been trained using the first 40 pages of Train-A (https://zenodo.org/record/439807#.WVDDdidLeSN). The system is based on the deep learning toolkit to transcribe handwritten text images called Laia
This paper contributes to the assessment of various – possibly impacting – factors during the collec...
Poster presented at the doctoral consortium of the 16th International Conference on Document Analysi...
Handwritten character recognition (HCR) is a challenging learning problem in pattern recognition, ma...
<p>This system has been trained using the first 40 pages of Train-A (https://zenodo.org/record/43980...
Train-A: Dataset of pages with manually revised baselines and the corresponding transcripts associat...
This dataset comprises the dataset used for the ICDAR 2015 Competition on Handwritten Text Recognit...
<p>Train-B Dataset. Dataset of pages without any layout or text line information. The correspondin...
Train-A Dataset of pages with manually revised baselines and the corresponding transcripts associate...
<p>A new release of the dataset used in the ICDAR 2015 HTR competition in which all Page XML files a...
<p><strong>Test-B2</strong>: a batch of page images annotated with the geometry of regions where to...
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The main idea of this dataset is to analyse the impact of training data. How many training data spec...
Abstract—This paper presents the results of the HDRC 2013 competition for recognition of handwritten...
This German handwriting recognition model has been trained with ground truth from different sources....
This dataset contains the training and test set for the ICDAR 2017 Competition on Baseline Detection...
This paper contributes to the assessment of various – possibly impacting – factors during the collec...
Poster presented at the doctoral consortium of the 16th International Conference on Document Analysi...
Handwritten character recognition (HCR) is a challenging learning problem in pattern recognition, ma...
<p>This system has been trained using the first 40 pages of Train-A (https://zenodo.org/record/43980...
Train-A: Dataset of pages with manually revised baselines and the corresponding transcripts associat...
This dataset comprises the dataset used for the ICDAR 2015 Competition on Handwritten Text Recognit...
<p>Train-B Dataset. Dataset of pages without any layout or text line information. The correspondin...
Train-A Dataset of pages with manually revised baselines and the corresponding transcripts associate...
<p>A new release of the dataset used in the ICDAR 2015 HTR competition in which all Page XML files a...
<p><strong>Test-B2</strong>: a batch of page images annotated with the geometry of regions where to...
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The main idea of this dataset is to analyse the impact of training data. How many training data spec...
Abstract—This paper presents the results of the HDRC 2013 competition for recognition of handwritten...
This German handwriting recognition model has been trained with ground truth from different sources....
This dataset contains the training and test set for the ICDAR 2017 Competition on Baseline Detection...
This paper contributes to the assessment of various – possibly impacting – factors during the collec...
Poster presented at the doctoral consortium of the 16th International Conference on Document Analysi...
Handwritten character recognition (HCR) is a challenging learning problem in pattern recognition, ma...
DOI
Add to ORKG