Abstract: Skew detection via principal components is proposed as an effective method for images which contain other parts than text.
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Skew detection has become very important as doc- ument processing tools are making a great progress. Most applications require a prior skew detection to.
Skew detection via principal components is proposed as an effective method for images which contain other parts than text. It is shown that the negative of ...
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 ...
In this paper, principal component analysis (PCA) procedure is used to find the skew angle on full page. First convert the input document into binary form image ...
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Skew detection via principal components analysis Page 1 Skew Detection via Principal Components Analysis Tal Steinherz Nathan Intrator School of ...
PCA produces linear combinations of the original variables to generate these axes known as principal components or PCs. Computation. To perform a PCA, the data ...
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...
Dec 5, 2019 · Outliers and strongly skewed variables can distort a principal components analysis. 2) Of the several ways to perform an R-mode PCA in R, we ...
Skew detection using Principal Component Analysis. This algorithm uses PCA “Ref. [12, 13]” to find the skew angle of document images. 1. Read the image. 2 ...