A study on top-down word image generation for handwritten word recognition

Ishidera, Eiki; Nishiwaki, Daisuke

doi:10.1109/icdar.2003.1227842

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…This solution, investigated since the beginning of the 90's [10], is to generate, from real images, synthetic images with controlled groundtruth. The authors of [11], [16] propose different approaches. Some consist in using a text editor (e.g.…”

Section: Data Augmentation or Groundtruth Generationmentioning

confidence: 99%

Massive, Free and Reproducible Grountruthed Document Image Databases Generation with DocCreator

Journet¹,

Mansencal

Visani

2017

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

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Whether your research is focused on image restoration, layout analysis, text-graphic separation, binarization, OCR, etc. you need a groundtruthed database to train your method or to evaluate it. This article presents DocCreator, a multi-platform and open-source software able to create many synthetic image documents with controlled groundtruth. With DocCreator, you can create complete synthetic images choosing the text, font, background and layout to use, add various realistic degradations (bleedthrough, light defect, paper deformation, ink degradation, etc.) on original images, or combine both to increase the size of your database. DocCreator comes as an online (easy to test version) and a desktop solution (fast calculation process, and no need to upload copyrighted data). DocCreator is useful for retraining tasks and to know precisely whether your algorithm is robust. It has already been used favorably and could help other DIAR researchers to produce and share groundtruthed databases.

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Section: Data Augmentation or Groundtruth Generationmentioning

confidence: 99%

Massive, Free and Reproducible Grountruthed Document Image Databases Generation with DocCreator

Journet¹,

Mansencal

Visani

2017

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

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“…We could create artificial training instances for words which have few or no occurrences in the training set (e.g. see [7]). The simplest way would be to create words from a representative font (possibly with multiple different styles for each letter) which is extracted from the training documents.…”

Section: Model Improvementsmentioning

confidence: 99%

Holistic word recognition for handwritten historical documents

Lavrenko

Rath

Manmatha

First International Workshop on Document Image Analysis for Libraries, 2004. Proceedings.

171

143

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“…This solution, investigated since the beginning of the nineties [27], is to generate synthetic images with controlled ground truth. The authors of [28,29] propose two similar systems. They consist of using a text editor (e.g., Word-office, Latex, etc.)…”

Section: Introductionmentioning

confidence: 99%

DocCreator: A New Software for Creating Synthetic Ground-Truthed Document Images

et al. 2017

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Most digital libraries that provide user-friendly interfaces, enabling quick and intuitive access to their resources, are based on Document Image Analysis and Recognition (DIAR) methods. Such DIAR methods need ground-truthed document images to be evaluated/compared and, in some cases, trained. Especially with the advent of deep learning-based approaches, the required size of annotated document datasets seems to be ever-growing. Manually annotating real documents has many drawbacks, which often leads to small reliably annotated datasets. In order to circumvent those drawbacks and enable the generation of massive ground-truthed data with high variability, we present DocCreator, a multi-platform and open-source software able to create many synthetic image documents with controlled ground truth. DocCreator has been used in various experiments, showing the interest of using such synthetic images to enrich the training stage of DIAR tools.

show abstract

A study on top-down word image generation for handwritten word recognition

Cited by 4 publications

References 7 publications

Massive, Free and Reproducible Grountruthed Document Image Databases Generation with DocCreator

Massive, Free and Reproducible Grountruthed Document Image Databases Generation with DocCreator

Holistic word recognition for handwritten historical documents

DocCreator: A New Software for Creating Synthetic Ground-Truthed Document Images

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