LEADTOOLS ICR Module - Plug In - V15.0

von LEAD Technologies - Produkttyp: Komponente / ActiveX OCX / DLL / VCL / VC++ Class Library

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Convert handwritten text and numbers into machine readable strings and documents. For example, an application using the LEADTOOLS ICR module can convert handwritten reports into PDF (requires LEADTOOLS PDF OCR Plug-in) or Word Doc files. The LEADTOOLS ICR Module can be used in the same fashion and mixed on the same image as the OCR module (set as a recognition module to ICR as a zone option). The LEADTOOLS ICR module supports hand written text in nearly 100 languages including 15 with dictionary support. The ICR features are included as an add-on module to extend the functionality of the LEADTOOLS Document Imaging Suite and the LEADTOOLS OCR Module by exposing the properties, methods, and events for two ICR modules to your applications.

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LEADTOOLS ICR Module V15.0

In den Einkaufswagen	$ 1,945.13	1 Developer License - Please note, requires LEADTOOLS Document Imaging Suite or LEADTOOLS OCR Module		Download (28 KB)
In den Einkaufswagen	$ 767.04	1 Developer Upgrade License from previous versions	Prüfen	Download (28 KB)
In den Einkaufswagen	$ 767.04	Annual Maintenance for 1 year	Prüfen	Download (29 KB)

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What's New in V15.0

64 Bit Support - In addition to Win32 support, LEADTOOLS Raster, Document, Medical and Vector toolkits now provide support for developing applications to target Windows XP 64-bit and Windows Vista 64-bit. The toolkit includes 32 and 64-bit API, C++ Class Library and .NET Class Library interfaces
Dramatically Improved Performance - Increased speed of the LEADTOOLS engines including encoders/decoders (CCITT G3, CCITT G4, JBIG, ABC, JPEG, etc) and many of the image processing functions
Web Forms - Develop rich interactive web-based applications using ASP .NET
- A Web ImageViewer control for displaying an image on an ASP.NET 2.0 web form
- The ImageViewer is used to display any image file format supported by web browsers (JPEG, GIF, PNG and BMP)
- Includes an HTTP handler to serve non-browser supported formats
- Large image support through tiling
- Includes an HTTP handler to get file information for files on the server or accessible via http
- The ImageViewer control can automatically handle zooming and scrolling
New Features Added to the .NET Library

Special Effects for image display
Screen Capture
DICOM and DICOM Communication
Barcode reading and writing
New File Formats in .NET

.NET Viewer and ImageList Enhancements

Multi-select with mouse
Rubberband select
Pan window with Annotations
Magnifying Glass with Annotations
Color Conversion Enhancements - Read and write ICC Profiles from images

Medical Imaging

32-bit Integer Grayscale support – load/save/display (DICOM/TIFF)
Complete native .NET support for DICOM and DICOM Communication
Unicode Support

Vector Format Enhancements

Transparency support for raster objects
Convert Polydraw into Polygon & Polylines
Support for units
Improved support for DWG, DXF and DWF formats
Added support for saving DGN
Added support for NAP format

NITF Format Support

The National Imagery Transmission Format Standard (NITFS) is the suite of standards for formatting and exchanging digital imagery and imagery-related products defined by the United States Department of Defense (US DOD). This standard allows for interoperability of systems used for formatting, transmitting, receiving, and processing imagery and imagery-related information.

Barcode

Improved Barcode Recognition accuracy
Faster Barcode Recognition
New Linear 1D Barcode types

EAN EXT 5
EAN EXT 2
MSI
CODE 11
Standard 2 of 5
Patch Code
PostNet

Databind Support for .NET Viewer Control – Use the .NET database engine to store and retrieve images to/from any database supported by .NET.
New interpolation options for image resize:

Triangular-peaked weighting
Hermite
Bell
Quadratic B-Spline
Cubic B-Spline
BoxFilter (Nearest Neighbor)
Lanczos
Michell
Cosize
CatmullRom
Quadratic
Cubic Convolution
Bilinear
Bresenham

Image Histogram Dialog - Medical Imaging demo that shows how LEADTOOLS functionality can segment, redistribute, and remove noise from the image data. This demo supports most Medical image types including 12 and 16-bit grayscale images, images with signed or un-signed data, and images with a LUT
Printing function using GDI+ - A new function which uses GDI+ for optimized and fast printing of images. It produces a smaller spooler file size, which will increase the speed of the printing over a network

ICR recognition engines:

HNR - Hand printed numeral recognition engine is designed for a reduce character set for improved speed and accuracy. Typical recognition time is 280-310 characters per second (Measured on a computer with 1500 MHz Pentium processor / 256 MB RAM running Windows 2000.) It specializes to recognize the following:

digits (0-9)
plus sign (+)
minus sign (-)
period or full-stop (.)
comma (,)

RER - reRecognition Hand print recognition engine is designed to recognize upper and lower case text, numbers and symbols. Typical recognition time is 150-220 characters per second (Measured on a computer with 1500 MHz Pentium processor / 256 MB RAM running Windows 2000.)

ICR Dictionary support for the following languages:

Dictionaries are used to improve recognition results by adding words that may only be in the types of documents being recognized or specialized words that are not in normal communications.