Ancient document recognition Using Fuzzy Methods

João M. C. Sousa, João R. Caldas Pinto, C. S. Ribeiro, João M. Gil

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This paper proposes an optical character recognition system based on fuzzy logic for ancient printed documents. The recognition process consists of two stages: training with collected character image examples and classification of new character images. The proposed OCR builds fuzzy membership functions from oriented features extracted using Gabor filter banks. Results on a significant test led to a character recognition success rate of 88%
Original languageEnglish
Title of host publicationThe 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05
Place of PublicationReno, NV, USA
Number of pages6
ISBN (Print)0-7803-9159-4
Publication statusPublished - 1 May 2005
Event14th IEEE International Conference on Fuzzy Systems - Reno, NV, United States
Duration: 25 May 2005 → …


Conference14th IEEE International Conference on Fuzzy Systems
Country/TerritoryUnited States
CityReno, NV
Period25/05/05 → …


  • Document image processing
  • Feature extraction
  • Fuzzy logic
  • Fuzzy set theory
  • Image classification
  • Optical character recognition
  • Ancient document recognition
  • Fuzzy methods
  • Optical character recognition system
  • Ancient printed documents
  • Character image classification
  • Fuzzy membership functions
  • Gabor filter banks
  • Fuzzy OCR
  • Optical character recognition software
  • Character recognition
  • Packaging
  • Gabor filters
  • Handwriting recognition
  • Typesetting
  • Optical filters
  • Text recognition


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