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https://open.uns.ac.rs/handle/123456789/1152
Nаziv: | Fuzzified Gabor Filter for Text Recognition in Images | Аutоri: | Tadić V. Kiraly Z. Trpovski, Željen Lončar-Turukalo, Tatjana Odry P. |
Dаtum izdаvаnjа: | 5-нов-2018 | Čаsоpis: | SISY 2018 - IEEE 16th International Symposium on Intelligent Systems and Informatics, Proceedings | Sažetak: | © 2018 IEEE. This paper presents a fuzzified Gabor filter in applications of a text recognition in images. The filter orientation and wavelengths are fuzzified to optimize the filter's response. It was shown that Bell's function and triangular membership function are the most appropriate for fuzzification. The algorithm was tested on various images that contain text, and has provided satisfactory results. The components of interest were efficiently extracted. The use of fuzzified Gabor filter produced satisfactory results with efficient text detection and extraction, and good noise robustness. | URI: | https://open.uns.ac.rs/handle/123456789/1152 | ISBN: | 9781538668405 | DOI: | 10.1109/SISY.2018.8524739 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
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