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BordersHelper 1.0

BordersHelper removes noisy borders in monochromatic images of documents introduced by the digitalization process using automatically fed


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, rakes or combs) 
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 border removal are inefficient if the correction fails. 

BordersHelper uses an algorithm based on Flood Fill, Component Labelling, and Region Adjacency Graphs. It removes noisy borders in monochromatic images of documents introduced by the digitalization process using automatically fed scanners. 
BordersHelper expects as input a monochrome image

Similar software:
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  • LinesHelper 1.0 — LinesHelper finds and removes horizontal and vertical lines and repairs overlapping text and graphics on binary images.
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