2007
DOI: 10.1016/j.patcog.2006.10.002
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Text line extraction from multi-skewed handwritten documents

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Cited by 97 publications
(65 citation statements)
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“…The extracted minimum spanning trees are not considered the text-line structures yet; some criteria are further adopted to delete redundant or add additional edges to form complete text-lines. Basu et al [23] propose a water flow method to construct textlines. Hypothetical water flows from both left and right image margins to opposite image margins.…”
Section: Text-line Constructionmentioning
confidence: 99%
“…The extracted minimum spanning trees are not considered the text-line structures yet; some criteria are further adopted to delete redundant or add additional edges to form complete text-lines. Basu et al [23] propose a water flow method to construct textlines. Hypothetical water flows from both left and right image margins to opposite image margins.…”
Section: Text-line Constructionmentioning
confidence: 99%
“…In Ref. [15], a text line extraction technique is presented for multi-skewed document of handwritten English or Bengali text. It assumes that hypothetical water flows, from both left and right sides of the image frame, face obstruction from characters of text lines.…”
Section: Related Workmentioning
confidence: 99%
“…It is an important step in document processing. Although some text line detection techniques are successful in printed documents, processing of handwritten documents has remained a key problem in optical character recognition (OCR) [1,2]. Most text line segmentation methods are based on the assumptions that distance between neighboring text lines is significant as well as that text lines are reasonably straight.…”
Section: Introductionmentioning
confidence: 99%
“…Their validity is of major importance for OCR process. Various reasons exist for appearance of multi-skewed lines in text, but two are most common [1]. Firstly, during scanning a misalignment degrees of the document made is unavoidable.…”
Section: Introductionmentioning
confidence: 99%
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