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- W2768363205 abstract "Segmentation of individual characters from a scanned word image is the most critical step of a typical optical character recognition (OCR) system. A robust segmentation algorithm is proposed in this paper. The word images are segmented into individual characters after skew angle correction and the thinning process, to get the single pixel stroke width. Ligatures of the touching characters are detected by keeping in view the geometrical shape of the English alphabets. The proposed vertical segmentation technique is used to cut individual characters from the handwritten cursive words. The proposed algorithm delivers excellent segmentation accuracy when tested on a local database." @default.
- W2768363205 created "2017-12-04" @default.
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- W2768363205 date "2017-11-16" @default.
- W2768363205 modified "2023-10-03" @default.
- W2768363205 title "A Robust Technique for Handwritten Words Segmentation into Individual Characters" @default.
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- W2768363205 doi "https://doi.org/10.1007/978-981-10-6626-9_11" @default.
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