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- research-articleNovember 2017
Scene text segmentation using low variation extremal regions and sorting based character grouping
Extraction of textual information from natural scene images is a challenging task due to imaging conditions and diversity of text properties. Segmentation of scene text is important step in the pipeline that significantly affects the final recognition ...
- research-articleJuly 2017
MSER and SIMSER Regions: A Link Between Local Features and Image Segmentation
CGDIP '17: Proceedings of the 2017 International Conference on Computer Graphics and Digital Image ProcessingArticle No.: 15, Pages 1–5https://doi.org/10.1145/3110224.3110227In this paper, the concept of using salient regions (MSER and SIMSER features) for image segmentation is revised and evaluated. Although we focus on the foreground-background segmentation (which plays an important role of many machine vision problems) ...
- research-articleMay 2017
A cascaded method for text detection in natural scene images
Neurocomputing (NEUROC), Volume 238, Issue CPages 307–315https://doi.org/10.1016/j.neucom.2017.01.066In this paper, a novel image operator is proposed to detect and locate text in scene images. To achieve a high recall of character detection, extremal regions are detected as character candidates. Two classifiers are trained to identify characters, and a ...