AccuSoft ImageGear Professional

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Recognition

Incorporating a range of recognition functionality via the ScanSoft® OmniPage® Capture SDK, the ImageGear OCR component is more than just an OCR toolkit, providing unsurpassed recognition accuracy for almost any document type.

Barcode


ImageGear barcode functionality provides an API for reading barcodes in all supported image formats.  In imaging, barcodes provide a means of quickly obtaining information for use in indexing data or for use by an application.

The ImageGear barcode support provides the ability to search for a barcode on a page, recognize its symbology and recognize the data within. Images with barcodes can be acquired through scanning or using ImageGear operations to read previously saved scanned images from memory. Highlights include the following:

Barcode symbologies are either one-dimensional (with all the data encoded in the horizontal dimension) or two-dimensional (with data encoded in the horizontal and vertical dimensions). ImageGear barcode support is available in Basic and Advanced modules. The Basic module provides recognition of the following 1D symbologies:

The Advanced module adds recognition support for the following 2D symbologies:

OCR - Optical Character Recognitionnn


The ImageGear OCR component enables developers to build recognition applications for Windows systems. When utilized in an application, it will acquire a page image as input and produce recognized text in a variety of output formats.

ImageGear OCR provides a new scalable voting architecture that provides developers with two pre-made voting interfaces along with direct access to three leading OCR engines, enabling the best possible results for their applications:

MOR OCR Engine

MTX (Mtext) OCR Engine

FireWorX OCR Engine

ImageGear also offers a significantly enhanced character confidence value reporting system, providing a wide range of confidence values. This offers developers the ability to set thresholds for letter accuracy within their applications.

To further improve output accuracy, quality format retention is available. This separates text, graphics, tables and columns to provide greater fidelity.

ICR - Intelligent Character Recognition


Developers have a choice of integrating two ICR (handprint OCR) recognition modules, including a numbers only module and an alphanumeric handprint recognition module. The numeric-only module is designed for a restricted character set, and can recognize the following: Digits (0-9), Plus sign (+), Minus sign (-), Period or full-stop (.), Comma (,).

Typical recognition time is 280-310 characters-per-second (measured on a computer with 1.5 GHz Pentium processor, 256 MB RAM, running Windows 2000).

The Alphanumeric ICR module recognizes hand-printed characters (both upper- and lower-case) of nearly 100 languages, 15 with dictionary support, including:

Typical recognition time is 150-220 characters-per-second (measured on a computer with 1.5 GHz Pentium processor, 256 MB RAM, running Windows 2000).

OMR - Optical Mark Recognition


The OMR recognition module is used for recognizing optical marks. Typical areas of application include questionnaires, educational tests, and in reporting or ordering sheets—where the documents being processed are form-like and filled in by respondents.

The frame can be a rectangle, hexagon, circle or ellipse and can be filled in by any method (x, tick, hatching, horizontal or vertical lines, etc.). The frame may be visible or invisible (scanner dropout) in the image sent for recognition. Recognition accuracy is 99.95 % and the average recognition time is 0.005 seconds per checkbox zone (measured on a computer with 166 MHz Pentium Processor & 16 MB RAM).