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JailHelper
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| Publisher: |
Personal PC Helpers
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Contact Email: |
|
Buy Now |
| Version: |
1.1 |
File Size: |
730.72KB |
| Date Released: |
2006-02-12 |
Release Status: |
Major Update |
| License: |
Demo |
Price: |
$238 / 199EUR |
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(8)
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| Date Added: |
2006-06-19 |
Date Updated: |
2006-06-19 |
| Category: |
Development::Other |
| Platform(s): |
Win95,Win98,WinME,WinNT 3.x,WinNT 4.x,Windows2000,WinXP,Windows2003,Linux |
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| Rating: |
 (Votes: 1)
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 A barcode (also bar code) is a machine-readable representation of information in a visual format on a surface. The mapping between messages and barcodes is called a symbology. The specification of a symbology includes the encoding of the single digits/characters of the message as well as the start and stop markers into bars and space, the size of the quiet zone required to be before and after the barcode as well as the computation of a checksum.
Barcodes are widely used to implement Auto ID Data Capture (AIDC) systems that improve the speed and accuracy of computer data entry.
JailHelper provides the ability to search for a barcode on a page, recognize its symbology and recognize the data within.
Highlights include the following:
Selection of symbologies for recognition
Setting barcode properties (i.e., color, orientation, density, image quality)
Getting distinct barcode text and other information found
Return the barcode region
JailHelper provides recognition of the following 1D symbologies:
CODE 39
CODABAR
INTERLEAVED 2 OF 5
INDUSTRIAL 2 OF 5
BCD MATRIX
EAN 8
EAN 13
CODE 128
UPCE
UPCA
CODE 93
JailHelper can help you save valuable time while maximizing the number of documents that can be processed daily.
JailHelper is available for the Windows and Linux operating systems. Porting to embedded system is available upon request.
JailHelper expects as input a monochrome image with at least 72 dpi.
Keywords: bar, code, barcode, bar-code, recognition, read, decode, image, SDK, toolkit
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BordersHelper
BordersHelper removes noisy borders in monochromatic images of documents introduced by the digitalization process using automatically fed scanners.
BoxesHelper
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
DeskewHelper allows automatic skew detection and correction.
DespeckleHelper
DespeckleHelper provides a successful method for automatically improving the quality of document images and a marked decrease in OCR error rates.
LandscapeHelper
LandscapeHelper detects landscape pages (rotated with 90 degrees) and automatically put the image into the right position for further processing steps (character recognition).
LinesHelper
LinesHelper finds and removes horizontal and vertical lines and repairs overlapping text and graphics on binary images.
RakeHelper
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.
ZoneHelper
ZoneHelper detects and automatically converts inverted text zones and change white-on-black text to normal black-on-white text.
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