Automated hand-marked semantic text recognition from photographs
Seungah Suh,
Ghang Lee,
Daeyoung Gil
et al.
Abstract:Automated text recognition techniques have made significant advancements; however, certain tasks still present challenges. This study is motivated by the need to automatically recognize hand-marked text on construction defect tags among millions of photographs. To address this challenge, we investigated three methods for automating hand-marked semantic text recognition (HMSTR)—a modified scene text recognition-based (STR) approach, a two-step HMSTR approach, and a lumped approach. The STR approach involves loc… Show more
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