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DespeckleHelper 1.0
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
Each step must be completed well enough for the performance of the sequence and result to be successful. Steps that follow the despeckle are inefficient if the correction fails.
DespeckleHelper provides a successful method for automatically improving the quality of document images and a marked decrease in OCR error rates. The method is easy to use - we view it as a pre-OCR cleanup operation, and it takes a very small amount of the computational effort of the OCR process itself.
DespeckleHelper expects as input a monochrome image.
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