The dramatic shift in business from the mountains of paperwork in the past to the digital products of the present has been one of the most fundamental changes in business in over a century. It was immediately obvious that word processing allowed changes to be made instantly without the time consuming reproduction of entire pages. However, all the documents already created had to be reproduced by hand until the advent of HP Teleform OCR Software.
With the introduction of the personal computer, handling information became far faster and much more efficient. Software was developed to allow for easy searches for specific information out of mountains of data. But there was still the problem of gathering the information already recorded and printed in order to convert it into a digital format.
A specific area that caused significant expense for companies was forms handling. Despite the much anticipated paper free world that the adoption of information systems for handling data seemed ready to allow, filling out forms remained a critical element. From doctor's offices to points of sale, forms are the mainstay for capturing data, all of which were still handled the old fashioned way, on paper.
The problem for programmers was getting printed characters into digital format. In addition to capturing the characters correctly, it had be accomplished rapidly and reliably. The gold standard for development was to replicate the accuracy and efficiency of people already doing the job, this turned out not to be a very high standard.
The solution is the use of optical character recognition which scans a document and converts the characters to digital format. By preformatting the software, the individual fonts can be recognized by comparing scanned images with programmed ones, and non-character markings such as lines can be replicated. Pixel by pixel comparisons also assist in reproducing charts and identifying handwritten characters.
This made it possible to take a form from a customer, scan it much as one would for a photocopy, and let the program recreate the document digitally for rapid categorization, manipulation and transmission. But when an image is scanned, everything on the original document is scanned, including any stray marking, dirt or so called static from facsimile or photocopy production. To keep from the confusing interpretation of these anomalies as characters which would compromise the final output, more work had to be done.
Electronic filters in the form of algorithms could anticipate and remove the dots and marks faxes and copies often have, making the digital copy cleaner than the document itself. There was also a need to straighten any documents since putting the original on the copy machine is not always truly vertical. Once all the algorithms and anticipated characters lines and shapes are in place, the program is ready.
Once the algorithms have correct the anomalies, documents can be handled at incredible speeds no human could possibly match. After the information has been converted to digital form, can then be categorized, put into databases and analyzed at the speed of electricity. HP Teleform OCR Software can help a company save hundreds of thousands of dollars in paper handling expenses and increase accuracy as well as efficiency.
With the introduction of the personal computer, handling information became far faster and much more efficient. Software was developed to allow for easy searches for specific information out of mountains of data. But there was still the problem of gathering the information already recorded and printed in order to convert it into a digital format.
A specific area that caused significant expense for companies was forms handling. Despite the much anticipated paper free world that the adoption of information systems for handling data seemed ready to allow, filling out forms remained a critical element. From doctor's offices to points of sale, forms are the mainstay for capturing data, all of which were still handled the old fashioned way, on paper.
The problem for programmers was getting printed characters into digital format. In addition to capturing the characters correctly, it had be accomplished rapidly and reliably. The gold standard for development was to replicate the accuracy and efficiency of people already doing the job, this turned out not to be a very high standard.
The solution is the use of optical character recognition which scans a document and converts the characters to digital format. By preformatting the software, the individual fonts can be recognized by comparing scanned images with programmed ones, and non-character markings such as lines can be replicated. Pixel by pixel comparisons also assist in reproducing charts and identifying handwritten characters.
This made it possible to take a form from a customer, scan it much as one would for a photocopy, and let the program recreate the document digitally for rapid categorization, manipulation and transmission. But when an image is scanned, everything on the original document is scanned, including any stray marking, dirt or so called static from facsimile or photocopy production. To keep from the confusing interpretation of these anomalies as characters which would compromise the final output, more work had to be done.
Electronic filters in the form of algorithms could anticipate and remove the dots and marks faxes and copies often have, making the digital copy cleaner than the document itself. There was also a need to straighten any documents since putting the original on the copy machine is not always truly vertical. Once all the algorithms and anticipated characters lines and shapes are in place, the program is ready.
Once the algorithms have correct the anomalies, documents can be handled at incredible speeds no human could possibly match. After the information has been converted to digital form, can then be categorized, put into databases and analyzed at the speed of electricity. HP Teleform OCR Software can help a company save hundreds of thousands of dollars in paper handling expenses and increase accuracy as well as efficiency.
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