Toward part-based document image decoding

Wang Song, Seiichi Uchida, Marcus Liwicki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Document image decoding (DID) is a trial to understand the contents of a whole document without any reference information about font, language, etc. Typically, DID approaches assume the correct segmentation of the document and some a priori knowledge about the language or the script. Unfortunately, this assumption will not hold if we deal with various documents, such as documents with various sized fonts, camera-captured documents, free-layout documents, or historical documents. In this paper, we propose a part-based character identification method where no segmentation into characters is necessary and no a priori information about the document is needed. The approach clusters similar key points and groups frequent neighboring key point clusters. Then a second iteration is performed, i.e., the groups are again clustered and optionally pairs frequent group clusters are detected. Our first experimental results on multi font-size documents look already very promising. We could find nearly perfect correspondences between characters and detected group clusters.

Original languageEnglish
Title of host publicationProceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012
Pages266-270
Number of pages5
DOIs
Publication statusPublished - May 24 2012
Event10th IAPR International Workshop on Document Analysis Systems, DAS 2012 - Gold Coast, QLD, Australia
Duration: Mar 27 2012Mar 29 2012

Publication series

NameProceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012

Other

Other10th IAPR International Workshop on Document Analysis Systems, DAS 2012
CountryAustralia
CityGold Coast, QLD
Period3/27/123/29/12

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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    Song, W., Uchida, S., & Liwicki, M. (2012). Toward part-based document image decoding. In Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012 (pp. 266-270). [6195376] (Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012). https://doi.org/10.1109/DAS.2012.90