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Herunterladen BoxesHelper download kostenlose für windows
demo,.00 Version von BoxesHelper hochladen
Auf dieser Seite können Sie Programm BoxesHelper für windows aus der Kategorie bild utilities hochladen, sich mit Kurzbeschreibung, Betriebssystemart, Lizenztyp, Popularität des Programms bekannt machen. Hier gibt es auch Informationen über Anzahl der Downloads. Um BoxesHelper zu downloaden, tragen Sie Bestätigungscode ins entsprechende Feld ein und klicken Sie auf “BoxesHelper hochladen”. Download beginnt gleich, falls die Bestätigungscode korrekt ist.
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BoxesHelper, Demo,$18.00
Screenshots:
File info:
Dateigröße: 784 KB
OS: Linux/Win95/Win98/Windows2000/Windows2003/WinME/WinNT 3.x/WinNT 4.x/WinXP
License: Demo,$18.00
Bewertung: 5
Views / Downloads: 255/41
OS: Linux/Win95/Win98/Windows2000/Windows2003/WinME/WinNT 3.x/WinNT 4.x/WinXP
License: Demo,$18.00
Bewertung: 5
Views / Downloads: 255/41
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.
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.