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This paper presents a two-pass clustering technique for orientation-invariant text line clustering in a language-independent text localization problem based on the connected component analysis (CCA) approach. Instead of doing a single-pass cluster in the conventional way, the proposed technique firstly explores nearby objects around the candidate components. By setting up the global constraints with...
In this paper, a region-based text localization that is robust for multiple languages is presented. Maximally Stable Extremal Regions (MSERs) are used for detecting candidates of text areas. The MSER components are grouped based on their connectivity in a feature space by using a new proposed rule for assigning the connectivity. The groups of components are classified into three classes that are text...
In this paper, we introduce a two-stage recognition process for classification of 164 classes of mixing of printed Thai and English characters. Various structural features based on image ratios, image projections, outer boundaries, Pyramid Histogram of Oriented Gradients (PHOG) are extracted from images. In the first stage, Fuzzy C Mean Clustering (FCM) is applied to create prototypes of every character...
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