Binarization-free text line segmentation for historical documents based on interest point clustering

Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012

Volumn , Issue , 2012, Pages 95-99

  Garz, Angelika ^a   Fischer, Andreas ^b   Sablatnig, Robert ^a   Bunke, Horst ^b  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b Institute for Computer Science and Applied Mathematics   (Switzerland)

Author keywords

ancient documents; binarization free; handwritten; historical documents; manuscripts; text line segmentation

Indexed keywords

ANCIENT DOCUMENTS; BINARIZATION-FREE; HANDWRITTEN; HISTORICAL DOCUMENTS; MANUSCRIPTS; TEXT LINE SEGMENTATION;

HISTORY;

IMAGE SEGMENTATION;

EID: 84862065042     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DAS.2012.23     Document Type: Conference Paper

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