Difference between revisions of "Datasets"
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− | = DAS2010 Special Session on Contributed Datasets = | + | = [[DAS2010 Special Session on Contributed Datasets]] = |
= Optical Character Recognition (OCR) = | = Optical Character Recognition (OCR) = |
Revision as of 14:17, 24 March 2010
Contents
DAS2010 Special Session on Contributed Datasets
Optical Character Recognition (OCR)
Machine-print OCR
- UW-II English/Japanese Document Image Database (Broken Link)
- UW-III English/Technical Document Image Database (Broken Link)
- ERIM Database (Broken Link)
Handwriting
On-line: vectorial, <math>(x_t, y_t)</math>
- CEDAR On-line Handwriting Database (Broken Link)
- UNIPEN database (Click on link 'CDROMs')
- Ethem Alpaydin's on-line digit db (Needs Update)
- Ethem Alpaydin's optical digit db (Needs Update)
- Kuchibue & Nakayosi (by Masaaki Nakagawa and Stefan Jaeger) (Needs Update)
- Together, these databases comprise more than 3 million Japanese characters from 283 writers.
- The Informal Competition of Recognizing On-line Words (ICROW) by the Unipen Foundation
Off-line: image, <math>I(x,y)</math>
- The NIST handwriting OCR databases Catalog (Needs Update)
- CENPARMI (four 3.5" diskettes) 17000 binarized numbers from ZIP codes on envelopes by the US Postal Services (Broken Link)
- Handwritten LOB-corpus sentences by Horst Bunke, University of Bern, Switzerland (Broken Link)
- IAM Database - A full English sentence database for off-line handwriting recognition.
- MARG- Medical Article Records Groundtruth ([1]) is a freely-available repository of document page images and their associated textual and layout data. The data has been reviewed and corrected to establish its "ground truth". Please contact Dr. George Thoma (thoma@lhc.nlm.nih.gov) at the National Library of Medicine for more information.
- Hindi font samples by Andras Kornai, June 5 2003
Miscellaneous Kanji handwritten OCR databases
Combined on-line/offline handwriting
- IRONOFF by the IRESTE group of the University of Nantes, France, is the first database of this type which is available. It combines handwritten samples of words in image (pixel) and in vector format. (Broken Link)
- Contact: Christian VIARD-GAUDIN (cviard@ireste.fr)