Title
Seam Carving for Text Line Extraction on Color and Grayscale Historical Manuscripts
Abstract
We propose a novel algorithm for automatic text line extraction on color and gray scale manuscript pages without prior binarization. Our algorithm is based on seam carving to compute separating seams between text lines. Seam carving is likely to produce seams that move through gaps between neighboring lines, if no information about the text geometry is incorporated into the problem. By constraining the optimization procedure inside the region between two consecutive text lines, we can produce robust separating seams that do not cut through word and line components. Extensive experimental evaluations on diverse manuscript pages show that we improve upon the state-of-the-art for grayscale text line extraction.
Year
DOI
Venue
2014
10.1109/ICFHR.2014.127
Frontiers in Handwriting Recognition
Keywords
Field
DocType
history,optimisation,text detection,automatic text line extraction,color historical manuscripts,diverse manuscript pages,grayscale historical manuscripts,grayscale text line extraction,line components,optimization procedure,prior binarization,seam carving,text geometry
Pattern recognition,Computer science,Seam carving,Artificial intelligence,Grayscale
Conference
ISSN
Citations 
PageRank 
2167-6445
25
1.08
References 
Authors
16
2
Name
Order
Citations
PageRank
Nikolaos Arvanitopoulos1423.78
Sabine Süsstrunk24984207.02