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關於 LEADTOOLS Recognition SDK

在您的應用程式中內置強大的文檔圖像處理和識別功能。

The LEADTOOLS Recognition SDK is a handpicked collection of LEADTOOLS SDK's and features designed to build end-to-end document imaging applications as part of an enterprise level document automation solutions that require capture, classification, forms processing, archival, annotation and view functionality. This powerful set of tools utilizes LEAD's image processing technology to intelligently identify document features that can be used to recognize any type of scanned or faxed form image.

The LEADTOOLS Recognition SDK includes the following products:

  • LEADTOOLS Imaging Pro
  • LEADTOOLS Document Imaging
  • LEADTOOLS Advantage OCR Module
  • LEADTOOLS Forms Recognition Module
  • LEADTOOLS OMR Module
  • LEADTOOLS PDF OCR Module
  • LEADTOOLS 1D Barcode Module
  • LEADTOOLS 2D Barcode Module

The provided recognition and processing engines fully automate document classification and data extraction for known forms. The recognition engine creates unique XML data for each known form which is used to identify any form requiring recognition. The processing engine uses templates consisting of predefined fields for each known form. These fields can be defined using the Forms application included with the SDK, or developers can create their own template editor using the toolkit. Supported field types include machine and hand written characters, check boxes, filled bubbles, cross marks and barcodes.

In addition to saving the recognized data in various structured output formats such as delimited text, XML or database fields, a recognized free form document can be converted to searchable PDF for enterprise data mining.

To further enhance the accuracy of the recognition process, the Recognition SDK includes the LEADTOOLS document image clean-up engine, a set of document image pre-processing tools for deskew and despeckle, as well as line, border and hole-punch removal.

For maximum performance, forms recognition and OCR high level interfaces utilize an intelligent multi-threaded algorithm during recognition and processing and are supported in both 32 and 64 bit development.

LEADTOOLS Recognition SDK Key Features:

  • Provided as a low and high level .NET interface to create complete recognition and processing applications with very little code.
  • Full source code for an end-user Forms Recognition and Processing application and hundreds of lines of sample source code ready for copy and paste.
  • Use in conjunction with LEADTOOLS Workflow Foundation activities to incorporate scanning, OCR, ICR (hand-written text), OMR, MICR, PDF OCR, redaction and annotations.
  • Designed for maximum performance and emphasize thread safety for enterprise service oriented application developments. LEADTOOLS is ready to be used in server based architectures such as WCF services and WF activities.
  • Flexible automatic recognition engine can be customized to use Barcode, OCR, line detection, and special object detection such as logos, text blocks, and shapes.
  • Load and save form identification information as XML for storage in a database.
  • Handles any of 150+ input file formats with different bits-per-pixel, dpi, scales, skew angles, and noise.
  • Define multi-page forms for recognition and processing.
  • Stores any number of pre-defined forms.
  • Recognizes forms at both form and page level to compare an image to any form page or compare a complete multi-page form to any predefined master form.
  • Define, include, and exclude regions in the form.
  • Supports a variety of data fields such as: text, OMR, image, and barcode
    • Text fields support both printed and hand-written text.
    • Supports regular expressions to find / validate text in a specified format.
    • Image fields to extract signatures, personal pictures, logos, and fingerprints.
    • Barcode fields support all barcode Linear(1D) and 2D types, such as PDF417, DataMatrix, QR, EAN, UPC, Databar and 4-state.
    • Handles different form fields either by name or GUID
  • Auto-registration and clean-up to improve recognition results.
  • Manual feature weighting to improve recognition performance.
  • Generates comprehensive results and confidence level reports to assess performance.