Fuzzy-based segmentation for variable font-sized text extraction from images/videos. (English) Zbl 1407.94026
Summary: Textual information embedded in multimedia can provide a vital tool for indexing and retrieval. A lot of work is done in the field of text localization and detection because of its very fundamental importance. One of the biggest challenges of text detection is to deal with variation in font sizes and image resolution. This problem gets elevated due to the undersegmentation or oversegmentation of the regions in an image. The paper addresses this problem by proposing a solution using novel fuzzy-based method. This paper advocates postprocessing segmentation method that can solve the problem of variation in text sizes and image resolution. The methodology is tested on ICDAR 2011 Robust Reading Challenge dataset which amply proves the strength of the recommended method.
MSC:
| 94A08 | Image processing (compression, reconstruction, etc.) in information and communication theory |
| 94D05 | Fuzzy sets and logic (in connection with information, communication, or circuits theory) |
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