Skew Detection Via Principal Components Analysis
.
Skew Detection via Principal Components Analysis.
In ICDAR, 153-156, 1999
Online Version
A pdf version is available for download.
Abstract
Skew detection via principal components is pro- posed as an effective method for images which contain other parts than text. It is shown that the negative of the image leads to much more robust results, and that the computation time involved is still practical.
Keywords
Co-authors
Bibtex Entry
@inproceedings{SteinherzIR99i,
title = {Skew Detection via Principal Components Analysis.},
author = {Tal Steinherz and Nathan Intrator and Ehud Rivlin},
year = {1999},
booktitle = {ICDAR},
pages = {153-156},
keywords = {Document Analysis, Skew Detection, Principal Components.},
abstract = {Skew detection via principal components is pro- posed as an effective method for images which contain other parts than text. It is shown that the negative of the image leads to much more robust results, and that the computation time involved is still practical.}
}