Technology Toolkit

Before evolution of OCR, there were many difficulties while converting data from image to text documents. All demanding companies were trying to find those data entry employees to write pictorial data. Therefore, for many enterprises, requirement of employees having better typing speed was first requirement.

However, at the end of 2002, invention was in progress to avoid this problem and to create software application to recognize text within image by using various recognizer algorithms for characters and images.

Today, OCR can not only recognize characters, images or other Active X tools, but also check spelling mistakes in the documents to clear document perfectly. For good recognition the image should have the so called standard orientation: the text should be read top down and the lines should be horizontal.

During recognition, OCR detects the page orientation automatically by default. Images of dual pages have no standard orientation because each page has its own skew. There is a special mode in application where an image with dual pages is split into two different batch pages. This allows you to process each page separately.

To correct the skew of each page during recognition automatically and to save the recognized text from each page into a separate file or on a separate page, dual page recognition system used. Moreover, multilingual text documents can also scanned to create complete multi language document.

Characters from different languages can also be processed and checked for spelling mistakes in the application program of recognition system. Therefore it is possible to sense any Unicode character from any paper documents.

As an example, consider a poor print quality of the document (too much dust on the image, blurred letters, jagged letters, skewed lines, displaced or faint table separators, etc.).

Then to improve the quality of recognition of such documents, try scanning them in grayscale mode the program will determine the required level of brightness automatically. Hence, it is possible to scan and recognize faxed and other documents perfectly with powerful features of the OCR program.

Suppose a case of complex magazine page where it is necessary to resolve all combinations of text and image blocks neatly to determine position of text to be recognized. These mixed layouts can be read with OCR.

If your document has a very complex layout, we recommend drawing the blocks manually or adjusting the blocks drawn automatically by the program. Main objective of the application is to convert a paper document into editable formats.