OcrV1, Main, Exploration, bibRecord, 000336

A Real-World Noisy Unstructured Handwritten Notebook Corpus for Document Image Analysis Research

Identifieur interne : 000336 ( Main/Exploration ); précédent : 000335; suivant : 000337

A Real-World Noisy Unstructured Handwritten Notebook Corpus for Document Image Analysis Research

Auteurs : Jin Chen [États-Unis] ; Daniel Lopresti [États-Unis] ; Bart Lamiroy [France]

Source :

RBID : Hal:inria-00627844

Abstract

Traditionally, document image analysis (DIA) is conducted on datasets that are prepared for research purposes. Many existing handwriting datasets, however, do not necessarily represent the range of problems we wish to solve in real life. In this work, we introduce a noisy and unstructured handwriting dataset that aims for promoting and evaluating robust document analysis algorithms for real-world challenges, as a result of emphasizing the process of building and curating a dataset. First, we explain the data acquisition process and characterize its critical features as noisy and unstructured. Then, we discuss a set of real-world scenarios that might benefit from using our notebook dataset. As an on-going activity, so far we have collected 18 handwritten note-books from nine college students, resulting in a total of 499 pages. We expect to collect over 100 notebooks, or equivalently about 3,000 pages, from at least 50 students. This dataset is available to the research community via the Lehigh document analysis and exploitation (DAE) platform.

Url:

https://hal.inria.fr/inria-00627844

DOI: 10.1145/2034617.2034620

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Hal, to step Corpus: 000008
to stream Hal, to step Curation: 000008
to stream Hal, to step Checkpoint: 000083
to stream Main, to step Merge: 000341
to stream Main, to step Curation: 000336

Le document en format XML

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{{Explor lien
   |wiki=    Ticri/CIDE
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   |texte=   A Real-World Noisy Unstructured Handwritten Notebook Corpus for Document Image Analysis Research
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A Real-World Noisy Unstructured Handwritten Notebook Corpus for Document Image Analysis Research

A Real-World Noisy Unstructured Handwritten Notebook Corpus for Document Image Analysis Research

Source :

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri