Abstract
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 language | English |
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Title of host publication | The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05 |
Place of Publication | Reno, NV, USA |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 833-838 |
Number of pages | 6 |
ISBN (Print) | 0-7803-9159-4 |
DOIs | |
Publication status | Published - 1 May 2005 |
Event | 14th IEEE International Conference on Fuzzy Systems - Reno, NV, United States Duration: 25 May 2005 → … |
Conference
Conference | 14th IEEE International Conference on Fuzzy Systems |
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Country/Territory | United States |
City | Reno, NV |
Period | 25/05/05 → … |
Keywords
- 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