A fuzzy approach to segment touching characters
| Autor: | Giuseppe Airò Farulla, Rosaria Rossini, Nadir Murru |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
business.industry Computer science Characters segmentationFuzzy logicOCRTouching characters General Engineering 02 engineering and technology Fuzzy logic Computer Science Applications Task (project management) 020901 industrial engineering & automation Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing State (computer science) Artificial intelligence business |
| Zdroj: | Expert Systems with Applications. 88:1-13 |
| ISSN: | 0957-4174 |
| DOI: | 10.1016/j.eswa.2017.06.034 |
| Popis: | Despite many years of research, correct and reliable segmentation of touching characters is still a hard task to solve. In the recent years, many methods and algorithms have been proposed; nevertheless the problem is still open. In this paper, we propose a novel method based on fuzzy logic that combines three different techniques to segment touching characters. These techniques have already been used in other studies but they have never been used all together. We propose a 3–input/1–output fuzzy inference system with fuzzy rules that are specifically optimized to segment touching Latin characters. The method is applicable to both printed and handwritten characters. We discuss the performances of our method by comparing it with state of the art. Results show that our method provide a better accuracy to segment characters even with noisy touching characters. |
| Databáze: | OpenAIRE |
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