What is Open OCR?
In case you're wondering, open OCR differs from other types of software since it allows for changes to be made by the public - this is so that improvement can be made to the software. There are several types of open OCR on the Internet. One such open OCR system features pluggable layout analysis, statistical natural language modeling, multi lingual ability, and pluggable character recognition. OCR is the utilization of visual pattern matching to pull out text from images. Typically, this is a scanned document, but it could also be a digital photo image, a screenshot or a video frame.
The Challenge Behind Open OCR
In case you're using a free operating system and require an optical character recognition or OCR software, you're in for a challenge. OCR tends to be trick on any platform, let alone open OCR - this is partly due to the fact that it is conceptually difficult and secondly because the task does not involve an easy to use interface. Most people approach the task of obtaining an open OCR program with low expectations. However, there is some software that accomplishes this arduous task relatively successfully. Some open OCRs support a myriad of scanners through the SANE library to acquire images. The controls on this type of software also allow you to control resolution, contrast and brightness of the document that you plan to scan.
How to Obtain Successful Results via Open OCR?
In order to achieve excellent results while using open OCR programs, you should tweak settings on the selected software in order obtain the highest contrast - this should get rid of any dust and shadow that are seen on the paper. The disadvantage, however, is that if the contrast is excessive in a scan, it can eliminate the serifs, thin strokes of letter and dots. Hence, this would make it more difficult for the OCR software to differentiate between characters. If the images you need to OCR are already digitized, you can test out all the OCR applications. However, some of these do not have a scanning option. In general, the images on these OCRs have good quality if you start with good text that is readable.