Segmentation of Handwritten Chinese Characters into Individual Characters
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Resource Overview
Segments a line of handwritten Chinese characters into individual characters, laying the foundation for subsequent character recognition tasks. Implementation typically involves image preprocessing, projection-based segmentation algorithms, and contour analysis techniques.
Detailed Documentation
In this task, we need to segment a line of handwritten Chinese characters into individual characters. The primary objective is to establish a solid foundation for subsequent Chinese character recognition work. By isolating each character through segmentation, we can perform character recognition more accurately, thereby improving overall recognition accuracy and efficiency. Common implementation approaches include using horizontal projection histograms to identify character boundaries, applying connected component analysis to detect character regions, and utilizing adaptive thresholding techniques to handle varying ink densities in handwritten text.
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