Optical character recognition, abbreviated as OCR, is the conversion of images, handwritten or printed text into machine readable data. The OCR helps a lot in converting paper work to digital format. It is considered to be the best solution for creating a paperless office environment. But not all OCRs offer the best accurate solution. So we have to consider all the options before going for the best OCR that would cater our needs.
The OCR employs pattern recognition, machine vision and artificial intelligence. The best OCR must make best use of the three factors it is depended on. It should have a high degree of accuracy in recognition of a wide variety of fonts. The best OCR should be able to reproduce the original image or text with minimum percentage of error. A good OCR must also provide you with options to save the output in different formats such as , PDF, HTML document, word document etc. You can not only edit in such documents but also search for texts in it. Some of theimportant features that distinguish the OCR are accuracy in character recognition, support for different languages, user interface and support for searchable PDF output. These have to be considered before choosing the OCR software.
There are quite a few things that you can do to get the best OCR result. They are,
• Start with a good original : Take care that the paper is not wrinkled and there are no blotches in the paper
• Make the scan as best as you can: Ensure that you use a decent scanner so that the image is not skewed.
Proof read the finished output: How much ever accurate the program is, proof read the OCR output.
It is a general belief that we can get the best OCR result if we grayscale the OCR input. It is said that gray scaling the input data enhances the character recognition and provides a cleaner background in the final output. Using some graphics applications like Paintshop Pro can also result in better OCRing.