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• W2997276468 abstract "Line Segmentation of handwritten documents is the process of detecting/segmenting lines from an image. It plays an important role in Optical Character Recognition (OCR) and Word Spotting. This paper focuses on the segmentation of handwritten Kannada documents. The importance of the research arises from the need for a paperless environment, making documents searchable and the difficulty in storing and preserving old books and documents. In this paper, we have proposed two novel algorithms for line segmentation of the handwritten Kannada documents - Vertical Strips Method and Connected Components Method. A dataset comprising of around 200 images was used to evaluate the algorithms. The dataset is divided into three categories based on the skew in the lines and the spacing between lines - Easy, Medium and Complex. The algorithm is evaluated based on these three categories and the results are compared for both the methods respectively." @default.
• W2997276468 created "2020-01-10" @default.
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• W2997276468 date "2019-07-01" @default.
• W2997276468 modified "2023-10-14" @default.
• W2997276468 title "Line Segmentation of Handwritten Kannada Documents" @default.
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• W2997276468 doi "https://doi.org/10.1109/icccnt45670.2019.8944517" @default.
• W2997276468 hasPublicationYear "2019" @default.
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