Angle Minimization and Graph Analysis for text line segmentation in handwritten documents
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Auteur(s) :
Setitra, Insaf
Meziane, Abdelkrim
Date :
2018-07-08Résumé
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
Mots clés:
tracking, connected components, angle minimization, handwritten
Source:
ISRN :ISRN CERIST- DSISM/PR—18-00000005--dz
Éditeur / Etablissement:
CERIST
Lieu:
Alger