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DespeckleHelper 1.0

DespeckleHelper provides a successful method for automatically improving the quality of document images and a marked decrease in OCR error


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

Similar software:
  • BoxesHelper 1.0 — BoxesHelper searches for boxes the aim being the extraction and recognition of the characters. Also boxes can be used as features in the step of form identification and recognition as anchor elements. BoxesHelper expects as input a monochrome image
  • LinesHelper 1.0 — LinesHelper finds and removes horizontal and vertical lines and repairs overlapping text and graphics on binary images.
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