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Word segmentation from video text line is challenging because video poses several challenges, such as complex background, low resolution, arbitrary orientation, etc. Besides, word segmentation is essential for improving text recognition accuracy. Therefore, we propose a novel method for segmenting words by exploring zero crossing points for each sliding window over text line. The candidate zero crossing pointes are defined based on characteristics of positive and negative Laplacian values atdoi:10.1109/das.2014.21 dblp:conf/das/ShivakumaraSGT14 fatcat:pwnwclrnb5byxnx57roastj564