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ICDAR
2009
IEEE
14 years 5 months ago
Line Segmentation for Degraded Handwritten Historical Documents
We propose a novel approach for text line segmentation based on adaptive local projection profiles. Our algorithm is suitable for degraded documents with text lines written in la...
Itay Bar Yosef, Nate Hagbi, Klara Kedem, Its'hak D...
ICDAR
2007
IEEE
14 years 5 months ago
An Efficient Word Segmentation Technique for Historical and Degraded Machine-Printed Documents
Word segmentation is a crucial step for segmentation-free document analysis systems and is used for creating an index based on word matching. In this paper, we propose a novel met...
Michael Makridis, N. Nikolaou, Basilios Gatos
DRR
2009
13 years 8 months ago
Text-image alignment for historical handwritten documents
We describe our work on text-image alignment in context of building a historical document retrieval system. We aim at aligning images of words in handwritten lines with their text...
Svitlana Zinger, John Nerbonne, Lambert Schomaker
ICDAR
2003
IEEE
14 years 4 months ago
Word Segmentation of Handwritten Dates in Historical Documents by Combining Semantic A-Priori-Knowledge with Local Features
The recognition of script in historical documents requires suitable techniques in order to identify single words. Segmentation of lines and words is a challenging task because lin...
Markus Feldbach, Klaus D. Tönnies
DIAL
2004
IEEE
149views Image Analysis» more  DIAL 2004»
14 years 2 months ago
Holistic Word Recognition for Handwritten Historical Documents
Most offline handwriting recognition approaches proceed by segmenting words into smaller pieces (usually characters) which are recognized separately. The recognition result of a w...
Victor Lavrenko, Toni M. Rath, R. Manmatha