Description: Typical OCR software can handle only binary images with black pixels representing text and white pixels representing background. It isn't unusual in modern documents to have inverted text zones and normal text zones within the same document.
The document structure analysis and character recognition are usually done in several phases:
skew detection and correction
despeckle or speckle removal
detection of preprinted elements (like boxes)
page orientation detection and correction
character recognition (normal and inverse)
Each step must be completed well enough for the performance of the sequence and result to be successful. ZoneHelper detects and automatically converts inverted text zones and change white-on-black text to normal black-on-white text.
DeskewHelper 1.0 DeskewHelper allows automatic skew detection and correction. Deskew is the preprocessing operation of removing skew from images (especially bitmaps created using a scanner
LandscapeHelper 1.0 LandscapeHelper detects landscape pages (rotated with 90 degrees) and automatically put the image into the right position for further processing steps (character recognition). The