Content Detection in Handwritten Documents
abstract: Handwritten documents have gained popularity in various domains including education and business. A key task in analyzing a complex document is to distinguish between various content types such as text, math, graphics, tables and so on. For example, one such aspect could be a region on the...
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| Format: | Dissertation |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/2286/R.I.50452 |