This paper describes a skew detection method which first smoothes the black runs and locates the black–white transitions to emphasize the text lines.

This paper describes a skew detection method which first smoothes the black runs and locates the black–white transitions to emphasize the text lines. Then the ...

This paper presents a new skew angle estimation algorithm for binary document images based on the FCRM (fuzzy c-regression models) clustering method with ...

In this paper, we propose an approach to estimate the text skew for printed documents. This is an important step to prevent errors in further stages of an ...

This paper describes a skew detection method which first smoothes the black runs and locates the black–white transitions to emphasize the text lines. Then the ...

A variety of skew detection and correction techniques are available. Skew estimation approaches are classified into four main categories according to the ...

Document skew detection is one of the key technologies in most of the document analysis systems. However, existing skew detection methods either have low ...

Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

Oct 17, 2011 · Skew detection and correction are important preprocessing steps in document layout analysis and optical character recognition (OCR) approaches.

Correcting skew requires the calculation of a skew angle. A skew angle is accurately determined in less computation time, since determination is based on a data ...