使用OpenCV實作表格辨識與影像分析

Table Recognition and Image Processing Using OpenCV

吳修喆(HSIU-CHE WU)

指導教授 ： 虞沛鐸

中原大學/理學院/應用數學系/碩士(2024年)

https://doi.org/10.6840/cycu202400213

摘要

本研究旨在探討和實現基於開源計算機視覺庫OpenCV的表格辨識和影像分析系統，以提高數據擷取和處理的效率。表格是常見的信息組織形式，但從圖像中自動識別和提取表格內容仍是具有挑戰性的問題，特別是辨識斜線框線的部分。本研究通過結合圖像處理技術，包括二值化、輪廓檢測和區域分割等，實現了有效的表格整體輪廓偵測與內部細分。辨識完表格後，進一步使用機器學習的開源軟體庫TensorFlow，來識別表格中的文字內容，以實現自動數據提取。

關鍵字

表格辨識 ； 手寫字辨識 ； 機器學習

並列摘要

This study aims to explore and implement a table recognition and image analysis system based on the open-source computer vision library OpenCV, to enhance the efficiency of data extraction and processing. While tables are a common form of information organization, automatically identifying and extracting their contents from images remains a challenging task, particularly in recognizing skewed borders. This research achieves effective table contour detection and internal segmentation by integrating image processing techniques such as adaptive threshold, contour detection, and region segmentation. Following table contour detection, the machine learning open-source library TensorFlow is further employed to recognize text contents within the tables, enabling automated data extraction.

並列關鍵字

Table recognition ； Handwritten digit recognition ； Machine learning

參考文獻

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