Nicomsoft OCR
by Nicomsoft - Product Type: Component / ASP.NET WebForms / .NET WinForms / .NET Class / .NET WPF / Silverlight
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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.
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.
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