research-article

An information extraction system from patient historical documents

Authors:

Eirini Matthaiou,

Ergina KavallieratouAuthors Info & Claims

SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing

Pages 787 - 791

https://doi.org/10.1145/2245276.2245428

Published: 26 March 2012 Publication History

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Abstract

Nowadays, document image retrieval systems are increasingly applicable by various businesses, governmental and academic organizations. ELEPAP (Hellenic Protection and Rehabilitation Centre for Disabled Children) is an organization which needs more efficient ways of managing its huge volume of archived documents. This paper deals with the preprocessing procedures of well-known OCR systems in order to extract specific features from ELEPAP's patients' cards. It is shown that our proposed methodology can provide good IT solutions for ELEPAP in order to extract information from its old archives.

References

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V. Govindaraju, H. Cao and A. Bhardwaj. Handwritten Document RetrievalStrategies, Proc. of ICDAR workshop on Noisy Text Analytics (AND), Spain, 2009.

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N. Nikolaou, M. Makridis, B. Gatos, N. Stamatopoulos and N. Papamarkos. Segmentation of historical machine-printed documents using Adaptive Run Length Smoothing and skeleton segmentation paths. Image and Vision Computing, vol. 28, no. 4, 590--604, 2010.

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B. Mund and K-H.Steinke. Processing Handwritten Words by Intelligent Use of OCR Results. Springer, LcNs. in Computer Science, Vol. 6171, Advances in Data Mining, 174--185, 2010.

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E. Kavallieratou and E. Stamatatos, Improving the quality of degraded document images, in Proc. Int'l Conf. Document Image Analysis for Libraries (DIAL), (Lyon, France), 2006.

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S. Vavilis, E. Kavallieratou. A tool for Tuning Binarization Techniques, ICDAR 2011.

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E. Kavallieratou, N. Fakotakis, and G. Kokkinakis. Skew angle estimation for printed and handwritten documents using the wigner-ville distribution. Image and Vision Computing, 20: 813--824, 2002.

Crossref

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A. Rehman, D. Mohammad, T. Saba. Skewed Line Detection and Removal Preserving Handwritten Strokes: A New Approach, College Science in India, 2009.

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Index Terms

An information extraction system from patient historical documents
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation
        Video segmentation

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SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing

March 2012

2179 pages

ISBN:9781450308571

DOI:10.1145/2245276

Conference Chairs:
Sascha Ossowski
University Rey Juan Carlos, Spain
,
Paola Lecca
The Microsoft Research - University of Trento COSBI, Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 26 March 2012

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SIGAPP

SAC 2012: ACM Symposium on Applied Computing

March 26 - 30, 2012

Trento, Italy

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SAC '12 Paper Acceptance Rate 270 of 1,056 submissions, 26%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Abstract

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Recommendations

Semantics-Based Content Extraction in Typewritten Historical Documents

Automatic keyphrase extraction for Arabic news documents based on KEA system

HistDoc - a toolbox for processing images of historical documents

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