Angle Minimization and Graph Analysis for text line segmentation in handwritten documents
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Date
2018-07-08
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CERIST
Abstract
We propose in this paper a novel approach for text
line segmentation in handwritten documents. The approach is
based on angle minimization and graph analysis for text lines
extraction. We apply our approach on images of ICDAR 2013
Handwriting Segmentation Contest, and give details about its
robustness against skew and text orientation. We compare the
approach to relevant text line segmentation state of art methods,
apply it to Algerian manuscripts and report relevant results
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Keywords
tracking, connected components, angle minimization, handwritten