A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf
.
Biological inspired tools for patrimonial handwriting denoising and categorization
2005
Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
In this paper, we propose a global segmentation free methodology for patrimonial documents denoising, handwriting characterization and categorization that are based on biological inspired approaches. We widely used here the spectral domain of handwritten images by frequency decompositions: Hermite transforms and Gabor bank filters. Handwritten pages are described by a multiscale signature that is based on orientation features and that is at the basis of a similarity measure. The current results
doi:10.1109/icdar.2005.58
dblp:conf/icdar/EglinBRE05
fatcat:7iywzptqr5fx3kjltgzoh4gzdu