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Table detection is a challenging problem and plays an important role in document layout analysis. In this paper, we propose an effective method to identify the table region from document images. First, the regions of interest (ROIs) are recognized as the table candidates. In each ROI, we locate text components and extract text blocks. After that, we check all text blocks to determine if they are arranged horizontally or vertically and compare the height of each text block with the averagedoi:10.5392/ijoc.2015.11.4.077 fatcat:6mt4k5iobfbkxmbk6o57pf6yqi