A system for the automatic layout segmentation and classification of digital documents

L. Cinque, S. Levialdi, A. Malizia

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

4 Citations (Scopus)

Abstract

Paper document recognition is fundamental for office automation becoming every day a more powerful tool in those fields where information is still on paper. Document recognition follows from data acquisition, from both journals and entire books, in order to transform them into digital objects. We present a new system for document recognition that follows the open source methodologies, XML description for document segmentation and classification, which turns out to be beneficial in terms of classification precision, and general-purpose availability.

Original languageEnglish
Title of host publicationProceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003
Pages201-206
Number of pages6
DOIs
Publication statusPublished - 2003
Event12th International Conference on Image Analysis and Processing, ICIAP 2003 - Mantova, Italy
Duration: 17 Sept 200319 Sept 2003

Conference

Conference12th International Conference on Image Analysis and Processing, ICIAP 2003
Country/TerritoryItaly
CityMantova
Period17/09/0319/09/03

Keywords

  • Document Analysis
  • Image processing and segmentation
  • Pattern Recognition

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