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SBimage Enterprise suite enables your company to scan and classify paper-based documents using barcode, electronic print recognition or manual classification. Digitizing paper-based documents eliminates the need for manual filing, retrieval and refilling of documents from either onsite or offsite storage facilities. It saves administrative time, storage costs, improves customer satisfaction and provides immediate, shared access to stored documents.

This cost-effective solution is designed to radically improve the way in which your company can respond to day-to-day business requirements. It provides a secure, digital information management solution that enables your employees and customers to collect, store, manage and retrieve electronic documentation, in a structured and secured framework.

The modular approach of the solution allows implementing single user environment and growing the solution to enterprise-wide strength.

Scan Interface is a software package, which supports a variety of industrial scanners, ranging from small Kodak i40 to high-speed processing monster - Kodak i830. The application is built to support all features available from the scanner hardware & many more additional software enhancements. Some of the available features are: simplex and duplex scanning, image enhancement facilities, barcode processing, flexible scanning profiling (based on image type and quality), pre- and post-scanning document classification, quality control and various output formats.

The application is designed with a simple, controlled interface, easy navigation and configuration.

Controlled by the configuration file, this package can be deployed in minutes by our support team or your computer specialist, once again, enabling your company to control and preserve valuable information.

SBimage COLD module is designed to provide the company with the efficient mechanism of archiving electronic report-type of information. The COLD processing module receives the electronic print-stream from line-of-business application. This stream is electronically parsed and the indexing information is extracted. The print-stream is stored electronically in a text format, which minimizes storage requirement.

The document is reconstructed with the electronic template once recalled by the user. In essence, there is only one template image is stored for the entire document class.

The module provides full-text searching facility on the line data. The final output can be configured and represented as text, PDF, colour JPG or XML formats, depending on complexity of the incoming file. The module also provides a flexible plug-in facility to convert information received in UNIX or Linux formats. This allows for possibility of integration with any operating system.

This COLD solution assumes no manual intervention with the received documentation, the files are processed automatically from the beginning to the end. Utilizing this sub-system provides your users with the facility to access archived information and recall the document under 5 seconds. This sub-system can also be utilized to match your line-of-business information versus received and scanned documentation.

SBimage WEB extension module provides an easy-to-navigate Internet interface which grants access to stored documentation via the Internet. This module inherits all the security permissions available within the system.

Besides the document retrieval, the module provides the document upload facility, which will enable your clients or branches to submit their documents directly into the system utilizing the power of the Internet.

Highly customizable user-interface will provide you with the ability to modify the application to fit the corporate look-and-feel. Open-ended architecture allows integration into the module from your custom Intranet, Extranet and Internet applications. SBimage Web module is built based on Microsoft technologies and can be hosted on your existing IIS server on the remote server. Standard extension points allow development of custom features such as validation of specific document indexing process.

Bearing in mind the growth of the Internet usage in South Africa and African continent, expansion of the web-enabled applications and people’s acceptance of the new technologies, the Internet imaging is no longer a nice to have component.

Optical Character Recognition, usually abbreviated to OCR, is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used to convert books and documents into electronic files, to computerize a record-keeping system in an office, or to publish the text on a website. OCR makes it possible to edit the text, search for a word or phrase, store it more compactly, display or print a copy free of scanning artifacts, and apply techniques such as machine translation, text-to-speech and text mining to it. OCR is a field of research in pattern recognition, artificial intelligence and computer vision.

OCR systems require calibration to read a specific font; early versions needed to be programmed with images of each character, and worked on one font at a time. "Intelligent" systems with a high degree of recognition accuracy for most fonts are now common. Some systems are capable of reproducing formatted output that closely approximates the original scanned page including images, columns and other non-textual components.
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In computer science, Intelligent Character Recognition (ICR) is an advanced optical character recognition (OCR) or — rather more specific — handwriting recognition system that allows fonts and different styles of handwriting to be learned by a computer during processing to improve accuracy and recognition levels.

Most ICR software has a self-learning system referred to as a neural network, which automatically updates the recognition database for new handwriting patterns. It extends the usefulness of scanning devices for the purpose of document processing, from printed character recognition (a function of OCR) to hand-written matter recognition. Because this process is involved in recognising hand writing, accuracy levels may, in some circumstances, not be very good but can achieve 97%+ accuracy rates in reading handwriting in structured forms. Often to achieve these high recognition rates several read engines are used within the software and each is given elective voting rights to determine the true reading of characters. In numeric fields, engines which are designed to read numbers take preference, while in alpha fields, engines designed to read hand written letters have higher elective rights. When used in conjunction with a bespoke interface hub, hand-written data can be automatically populated into a back office system avoiding laborious manual keying and can be more accurate than traditional human data entry.
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Digital paper, also known as interactive paper, is patterned paper used in conjunction with a digital pen to create handwritten digital documents. The printed dot pattern uniquely identifies the position coordinates on the paper. The digital pen uses this pattern to store the handwriting and upload it to a computer.

Digital paper should not be confused with electronic paper.

Effectively, you write your information or notes on a normal piece of paper, using normal ink. The pen records the lines and stores that information in memory. Once you near your computer, you send information for decoding to the server, the server creates an exact copy of the document in electronic format. There is no scanning required! You can destroy the original paper you used, or send it off for storage. Have a look at this document, this document was not scanned, it was reconstructed from digital paper.

 

 

 

www.MyDocument.co.za Accelerated capture Barcode recognition Image formats
www.TimeLog.co.za Departmental scanner Desktop scanner TWAIN / ISIS
Production scanner Document imaging Record keeping www.EMC.com
Document workflow Records management Records management www.ABBYY.com
Taxonomy OCR Digital mailroom

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