LandscapeHelper - The page orientation of a document is defined as the printing direction of text lines. Therefore the page orientation can be in either horizontal printing mode (portrait mode) or vertical printing mode (landscape mode). The page orientation correction is crucial for any automated entry system for printed documents. LandscapeHelper detects landscape pages (rotated with 90 degrees) and automatically put the image into the right position for further processing steps (character recognition).
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 (normal and inverse)
Each step must be completed well enough for the performance of the sequence and result to be successful.
LandscapeHelper expects as input a monochrome image.
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.
RakeHelper 1.0 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.
BordersHelper 1.0 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.
ZoneHelper 1.0 ZoneHelper detects and automatically converts inverted text zones and change white-on-black text to normal black-on-white text.
LinesHelper 1.0 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.
DespeckleHelper 1.0 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
DeskewHelper 1.0 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
JailHelper 2.0 JailHelper Barcode recognition SDK reads barcodes from image files or memory. Our barcode recognition software reads linear barcodes and it is available for Windows, Linux and Mac. Other OS incl. embedded system available upon request.Samples for C, C#, Java,VB. Our barcode recognition library supports several barcode types as:CODE 39, CODABAR, INTERLEAVED 2 OF 5, INDUSTRIAL 2 OF 5, BCD MATRIX, EAN 8, EAN 13, CODE 128, UPCE, UPCA, CODE 93.
PkDecode PkDecode is a software development kit to decode PDF417 barcodes from digital image. The SDK comes with dynamic link library (DLL) for Windows.The recognition algorithm can overcome multiform defects in images.
PkDecode 2.0 PkDecode is a software development kit to decode PDF417 barcodes from digital image. The SDK comes with dynamic link library (DLL) for Windows95/98/2000/XP/NT. The recognition algorithm can overcome multiform defects in images(scratch, smudges, damage, fuzzy code, etc.). PkDecode supports Text, Numeric and Byte Compaction modes. And PkDecode supports error correction level 0-8.
Perspective Pilot Correct linear distortions of a perspective and adjust the angle of the horizon
