Jumat, 02 September 2011

5 various Causes of OCR Software Errors When Extracting Data From Scanned Documents to Editable Formatting.

download freeware for pc Optical figure recognition programs generally work best with pictures from print media books and computer generated copies from laser and inkjet printers. Some documents are not suitable for conversions to editable format. Images with poor quality or other issues ought to be identified to determine whether OCR is befitting your project. Some of them are:

# 1 - Hand-written or hand-stamped sheets are certainly not suitable for automated processing. Pages containing annotations and cross-outs produce a top rate of error. In addition, originals with mixed text, pictures and graphics tend to have identification problems, but usually can be corrected with several manual adjustment.

# 2 - Scans of old documents who have lost contrast, color definition and clarity will not get optimal results. In addition, pages generated from fax machines and dot matrix printers generally provide poor results.

# 3 - Hard copies typed on a typewriter with a worn ribbon, carbon copies and sheets with light characters tend not to produce good results with optical character recognition. By the end of the 1980s, computer word processor applications had replaced typewriters. However, many archives contain a high number connected with typewritten pages.

# 4 - Lightweight paper stocks that will crease or crumple, jamming the scanner are another issue that could be encountered. Poor quality originals can be scanned over a flatbed scanner or copied on photocopy machine to prevent further damage to the original. Another solution is to capture the files having a digital camera. However, there are no guarantees that the extra work and effort will give you an acceptable output.

# 5 - Hard copies without proper formatting and columns will not be suitable for output to excel. In such cases, it is faster and more accurate to enter the data manually. However, OCR scanning to excel spreadsheet format is effective for sheets that are delimited with dividers. The tabulated data should closely resemble tabs CSV - Comma-separated values.

In cases where the originals are inappropriate for OCR software, a better solution is manual data admittance. Automated processing does not save resources if you want to go back and substantially correct the output. It is much easier and accurate to still do it the first time. You will be surprised to find out that outsourcing building to a scanning company with offshore BPO providers (business process outsourcing services) is usually both a timely and affordable solution. This is due to the lower cost of offshore labor making manual correction and re-typing cost effective.

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