Name
Abstract | ||
|---|---|---|
This paper proposes an expert system based on fuzzy logic for optical character recognition of old printed documents. These documents can have some problems, such as distortion, poor printing quality, faded and misprinted characters, speckles and smudges. The recognition process consists of two stages: training with character image examples and classification of new character images. The proposed OCR builds fuzzy membership functions from oriented features extracted using Gabor filter banks. The proposed methodology is tested on three different books from the 17th century, written in Portuguese. The fuzzy recogniser presents a very high character recognition success rate, which confirms the advantage of using expert systems in image based decision systems. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1504/IJISTA.2006.009908 | IJISTA |
Keywords | Field | DocType |
fuzzy logic,new character image,expert system,fuzzy method,fuzzy recogniser,character image example,fuzzy membership function,recognition process,optical character recognition,high character recognition success,old document recognition,misprinted character,image processing,uncertainty | Computer vision,Intelligent character recognition,Pattern recognition,Computer science,Document processing,Fuzzy logic,Expert system,Image processing,Optical character recognition,Gabor filter,Artificial intelligence,Intelligent word recognition | Journal |
Volume | Issue | Citations |
1 | 3/4 | 2 |
PageRank | References | Authors |
0.42 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. M. C. Sousa | 1 | 169 | 12.29 |
| J. M. Gil | 2 | 2 | 0.42 |
| C. S. Ribeiro | 3 | 2 | 0.42 |
| João Rogério Caldas Pinto | 4 | 46 | 8.11 |