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Nicomsoft OCR

經 Nicomsoft - 產品類型: 構件 / ASP.NET WebForms / .NET WinForms / .NET 類 / .NET WPF / Silverlight

‏請注意: 除非另有說明,此為英語產品

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High-quality optical character recognition. Nicomsoft OCR is an OCR software development kit. Developers can use it to embed high-quality optical character recognition functionality into their products. Recognition quality, agility, small size, ease of use and a royalty-free licensing policy are the main advantages of Nicomsoft OCR.

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What's new in Nicomsoft OCR V2.2?

  • Advanced lines/frames removal algorithm
  • Autoscaling algorithm
  • Portuguese and Italian language support
  • Significantly reduced uninitialization delay
  • Ability to use external DLL as a dictionary
  • Improved deskew algorithm

What's new in Nicomsoft OCR V2.1?

  • New deskew algorithm and "Img_GetSkewAngle" function.
  • Improved "Blk_Inversion" function: added the ability to detect block inversion.
  • Added block inversion detection during page layout analysis.
  • Improved error handling.
  • Updated sample projects.
  • Updated documentation.

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Nicomsoft OCR Features

  • Character analysis technology delivering reliable recognition of any font even in poor-quality images
  • Excellent analysis algorithms for poor quality text, distorted, connected and broken characters
  • Dictionaries are used for the best recognition
  • English, German, French, Spanish and Russian language support
  • ICR module for handwritten digits
  • Full support for multiple core CPUs speeding up analysis through efficient parallel processing of recognition
  • Support of multiple image formats: BMP, JPEG, PNG, TIFF, GIF and many others
  • Simple API interface and sample projects for various programming languages: C#, C++, VB.NET, Delphi, C++ Builder, VB
  • A wide set of supported frameworks and technologies (.NET, WPF, WCF, ASP.NET, Silverlight.)
  • Both native x86 and x64 binaries are available included
  • Support for multipage image formats (TIFF, GIF)
  • Support for PDF files (GhostScript is used)
  • Load images from files, memory or pixel data
  • Invert/rotate/mirror entire images or some text block(s) before processing
  • Adaptive image binarization supports images with poor brightness or low contrast
  • Configure image binarization parameters for specific images
  • Page layout analysis algorithm (zoning)
  • Perform OCR step by step and get intermediate results
  • Use several CPU cores for even faster image binarization
  • Perform zonal OCR: select one or multiple areas for OCR
  • Specify different OCR options for different areas
  • Process multiple images at once by using multiple threads

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