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Bitonal Image Enhancement SDK
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Benefits |
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 Improved Recognition Accuracy |
Extensive ScanFix Xpress image cleanup capabilities improve OCR and OMR recognition accuracy by eliminating noise, removing background elements such as lines and combs, reconstructing character features, and reducing distortion. Optimizing cleanup functions to correct the many anomalies caused by FAXing or scanning can yield dramatic results. This reduces the number of exceptions needing human interpretation.
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| More Legible Documents |
FAXed and scanned documents are often required for archive purposes and for human review. ScanFix Xpress can make documents much easier to read, improving the effectiveness of the people for whom they were originally created.
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| Automated Confidence Evaluation |
Most ScanFix cleanup functions return confidence values. This allows your program to automatically determine how well each function performs, and whether to mark a document image for manual review.
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| Reduced File Sizes |
Documents often require significantly less storage space after using ScanFix Xpress to clean them. For example, a compressed TIFF image file containing common dust specks can be two to three times larger than the same file after the noise has been removed using ScanFix Xpress.
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| Rapid Application Development |
With ScanFix Xpress, you can instantly add comprehensive world-class image cleanup technology to your custom document processing applications. Save weeks or months of development and quality assurance effort by simply dropping in our superior technology. We also provide well-integrated toolkits to satisfy your forms processing, OCR, ICR, OMR, and other needs.
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| Standards-based Solutions |
Through extensive testing, and because thousands of successful developers use Pegasus Imaging tools, you can rest assured that our products strictly adhere to the complex details of the specifications defining JPEG, TIFF, JPEG2000, TWAIN, and many other standards. You know that your applications will be compatible with other standards-based software.
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