Implementation of Chinese Character Segmentation in Images

In this task, we need to implement Chinese character segmentation for images. To achieve this objective, we utilize pixel scanning technology that systematically examines each pixel in the image to determine Chinese character positions. During the scanning process, we collect substantial data and perform processing operations to enhance character recognition accuracy. The implementation typically involves creating a scanning algorithm that traverses the image matrix row by row or column by column, using thresholding techniques to distinguish character pixels from background pixels. Additionally, we must address challenges related to handling Chinese characters with different fonts and sizes, as well as managing character overlapping and misalignment issues. This requires developing robust preprocessing functions for normalization and implementing contour detection algorithms to handle character boundaries. Through these technical efforts, we will establish an effective Chinese character segmentation algorithm that contributes to the advancement of Chinese character recognition technology. The algorithm may incorporate connected component analysis and morphological operations to improve segmentation accuracy across various character configurations.