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ZoneHelper 1.0

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:

scanning

thresholding

skew detection and correction

despeckle or speckle removal

line removal

border removal

detection of preprinted elements (like boxes)

page orientation detection and correction

layout analysis

classification

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.

ZoneHelper expects as input a monochrome image.

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• ZoneHelper detects and automatically converts inverted text zones and change white-on-black text to normal black-on-white text.
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