Title :
Ancient document recognition Using Fuzzy Methods
Author :
Sousa, J.M.C. ; Pinto, J. R Caldas ; Ribeiro, C.S. ; Gil, J.M.
Author_Institution :
Dept of Mech. Eng., Tech. Univ. of Lisbon
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%
Keywords :
document image processing; feature extraction; fuzzy logic; fuzzy set theory; image classification; optical character recognition; Gabor filter banks; ancient document recognition; ancient printed documents; character image classification; feature extraction; fuzzy OCR; fuzzy logic; fuzzy membership functions; fuzzy methods; optical character recognition system; Character recognition; Feature extraction; Fuzzy logic; Gabor filters; Handwriting recognition; Optical character recognition software; Optical filters; Packaging; Text recognition; Typesetting;
Conference_Titel :
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location :
Reno, NV
Print_ISBN :
0-7803-9159-4
DOI :
10.1109/FUZZY.2005.1452502
