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.
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.
DeskewHelper allows automatic skew detection and correction. The steps used to deskew an image are: Calculate the slope of the document Compute the rotation angle Calculate the size of a new image large enough to hold the rotated image Allocate the new image Rotate the entire 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
LandscapeHelper detects landscape pages (rotated with 90 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.
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).
PhotoHelper is a freeware image viewer with an attractive ease of use and graphics manipulation capabilities. Being a lightweight yet powerful software it combines both a graphic files navigation and an image processing just fine. Scanning and printing possibilities expands its capabilities!
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.
