Best speckle software for free download

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.

Related software: page, orientation, correction, recognition, read, image, processing, sdk, toolkit, …

Despeckle is the process of removing speckles from images (especially bitmaps created using a scanner). Speckles are artifacts which are extra pixels (or collections of extra pixels) that can occur in scanned images because of imperfections in the scanner hardware, or because of dust or dirt being present on the camera, scanning surface or even the document being scanned.


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.

Related software: speckle, despeckle, removal, recognition, read, image, processing, sdk, toolkit, de-speckle, …

Forms often contain preprinted elements such as field boxes or character boxes. Scanned documents in some cases also have horizontal or vertical lines due to the banding or folding of papers. Dealing with those artifacts is a challenging task for a system that tries to detect boxes during processing business documents.


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 box removal are inefficient if the correction fails.

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.

Related software: box, detection, removal, recognition, read, image, processing, sdk, toolkit, …