Using a subconnected area analysis, create some text.
Abstract
This research introduces a brand-new stick text segmentation technique based on sub connected area analysis. The basis of this approach is the text image's subconnected area representation, which effectively represents all connected regions in a picture. This process primarily entails four steps: text segmentation, subconnected area categorization, determining the first boundary following point, and identifying the best segmentation point via boundary tracing. This approach is comparable to the boundary analysis approach, however it is more effective.
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