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

RakeHelper searches for rakes the aim being the extraction and recognition of the characters. Also rakes can be used as features in the step of form identification and recognition as anchor elements.
RakeHelper expects as input a monochrome image.

PageHelper detects up side down pages (rotated with 180 degrees) and automatically put the image into the right position for further processing steps (character recognition).

LinesHelper finds and removes horizontal and vertical lines and repairs overlapping text and graphics on binary images. The line removal filter can also be configured to reconstruct horizontal and vertical lines, redrawing them straight with smooth edges.

LandscapeHelper detects landscape pages (rotated with 90 degrees) and automatically put the image into the right position for further processing steps (character recognition).

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.

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.

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