OCR Spelling - How The Object In Word Format Conversion Character Recognition Results To Improve

OCR software will produce error-free documents. Organizations often need to fix spelling errors are corrected and page layout. Scanned documents have imperfections such as spots, dots, and black edges. You discover how to improve your results will be amazed when the following techniques:

Scanning resolution: 300 dpi resolution object character recognition works best with scanned documents. High resolution scanning and color scanning to a document it takes a lot of time scanning is increased. Spreadsheets, ledgers and old newspapers to increase the resolution to 400 dpi can improve the results. But generally no need to scan at 600 dpi pages until font is much smaller than 6 points.

Color scanning: Sorority documents are completely unreadable as black and white mode (B & W) can be scanned. Color and grayscale scanning of old documents that are yellowed, stained, wrinkled, and faded to improve the recognition rate. Capture color, background color, shape or documents with small fonts and line breaks can improve the recognition rate. Color scanning, the primary conce
is the increase in file size. Grayscale generally small file size and compression techniques can reduce the document size.

Straighten: two ways to automatically analyze the content of documents or images using edge images in the wrong is right. Page directly to your pictures is important for an accurate conversion process. Commercial scanner to scan straight. Although having a high oblique images can be improved or need a rescan.

Noise removal: Noise removal rate increases accuracy. Optimization module function dots image spots, and other noise clearly improves character recognition formats like TIFF or two - tonal (1 bit) images are limited.

Enhancement: Image enhancement of the poor quality of the images is used to improve. The best and incomplete repair nicks smooth jagged edges on characters is used. Black and white (B & W) characters may be thickened or thinned to recognition. The most important factor is the structure or formatting of the pages. Data that is formatted into columns and rows using tabs to separate or delimit the text usually provides the best results with the conversion. Another consideration is the quality of the scanned files.
Black Border Removal: Remove black borders around the scanned pages to the black edges. This reduces processing time and batch validation and field capacity to the text for photo enhancement. Options include removing the border customs percent, its length and white noise variance. Remove the restrictions that I can be chosen.

Editing of documents by the OCR conversion and full text search capabilities. Organizations will find that it is generally much cheaper than data entry service. Accuracy typically computer-generated text - just the right papers and books. Over generally poor quality original, poorly separated spreadsheet data, the fine print, complicated layouts or books with pictures and graphics is the case with the lease documents.

Only to know whether OCR will work for you with a sample for testing. The recommendations can be used for the precision and production optimization to improve. Manual entry of the final production in comparison with the cases should be unacceptable.