Mathematical Morphology and Weighted Least Squares to Correct Handwriting Baseline Skew

Authors:
Marisa E. Morita;Silvio J. A. Garnés;Jacques Facon;Flávio Bortolozzi;Robert Sabourin
Affiliations:
-;-;-;-;-
Venue:
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Year:
1999

Citing 0
Cited 3

Recognition of Cursive Roman Handwriting - Past, Present and Future

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Cursive word skew/slant corrections based on Radon transform

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Baseline Image Classification Approach Using Local Minima Selection

IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice

Quantified Score

Hi-index	0.00

Visualization

Abstract

An approach to correct the baseline handwritten word skew in the image of bank check dates is presented in this article. The main goal of such approach is to reduce the use of empirical thresholds. The weighted least squares approach is used on the pseudo-convex hull obtained from the mathematical morphology.