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