Abstract: In this paper, we propose a fast method based on deep neural networks to detect and recognize Korean characters in traffic guide signs.
Abstract—In this paper, we propose a fast method based on deep neural networks to detect and recognize Korean characters in traffic guide signs.
In this paper, we propose a fast method based on deep neural networks to detect and recognize Korean characters in traffic guide signs. To detect character ...
Fast Korean Text Detection and Recognition in Traffic Guide Signs ...
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In this paper, we propose a real-time Korean traffic sign detection and recognition method based on color properties and shape geometries of images.
Missing: Text | Show results with:Text
A detection method based on actual natural images should have over 90% Korean text detection rate,and a 90~95% word recognition rate to work effectively. Thus, ...
Missing: Fast Traffic
In this paper, we propose a real-time Korean traffic sign detection and recognition method based on color properties and shape geometries of images.
Missing: Fast Guide
Oct 22, 2024 · In this paper, an automatic translation system for Korean signboard images is described. The system includes detection and extraction of ...
A real-time Korean traffic sign detection and recognition method based on color properties and shape geometries of images that can classify even the signs ...
Missing: Text | Show results with:Text
In this paper, we propose a real-time Korean traffic sign detection and recognition method based on color properties and shape geometries of images.
Missing: Guide | Show results with:Guide