![]() ![]() How neural networks work is much more complicated and out of scope of this article. However, rather than creating specific rules for each letter, they use neural networks for it. Most modern OCR programs work by feature detection. Instead of recognizing the complete pattern of an A, you're detecting the individual component features (angled lines, crossed lines, or whatever) from which the character is made. You could use a rule like this: If you see two angled lines that meet in a point at the top, in the center, and there's a horizontal line between them about halfway down, that's a letter A.Īpply that rule and you'll recognize most capital letter As, no matter what font they're written in. Suppose you're an OCR computer program presented with lots of different letters written in lots of different fonts how do you pick out all the letter As if they all look slightly different? Lets further expand on the example above. ![]() OCR technology helps computers understand printed and handwritten information by converting it to machine readable data. OCR is the technology that converts the pattern of ones and zeros to machine readable data (eg. It has no cognition of what the patterns of ones and zeros represents to humans. Let's put this definition into perspective, and look at an example.Ī computer simply 'sees' 1s and 0s. It's not perfect, but it's likely a lot more efficient than reading dozens or even hundreds of pages to discover a few pieces of information! You could scan the printed text and use OCR to produce searchable files from there, it would be a matter of extracting research-relevant data. This approach is labor-intensive, as it consists primarily of human data entry, yet it is particularly effective for some applications.Īnother instance would be if you needed to study some data, say from a report, but there are too many files to manually go through each one to get the data you require. This is the case when libraries digitize their historical collections and OCR the scanned documents so that volunteers may read and edit articles as needed. In addition, a scanned document that has been OCR-processed can be utilized as an editable document, allowing you to modify the text as needed (in certain situations). When you combine document scanning with document recognition and text recognition, you transform your stack of paper records into digital files that are searchable. After OCR processing, a user can search scanned documents for certain keywords and phrases. OCR software processes the characters in such a way that a computer can now read and recognize text: letters, symbols, words, etc. When a computer "sees" a picture, such as a page of printed text, the image consists of meaningless black and white pixels the computer has no innate knowledge of the letters and words. Humans have the capacity to glance at a page and nearly instantly recognize and comprehend the distinct letters, words, and phrases, but machines cannot do that. Using technology that detects characters and letters and converts them into words and phrases, the OCR converts a picture into a searchable text. So, let's jump right into it:- What is OCR? "OCR or Optical Character Recognition is the recognition of text from printed or handwritten documents and images in order to distinguish alphanumeric characters using technology." ![]() At the end, we answer some of the most frequently asked questions about the OCR technology. In this article, we discuss definition, use-cases, benefits, limitations, and alternative of optical character recognition in different industries. The application is responsible for recognizing the characters and producing a written document from a digitized or scanned document. It is a subset of image recognition and is typically used as a kind of data entry with printed documents or data records, such as financial records, sales receipts, passports, portfolios, and business cards, as input. Optical Character Recognition is the process of reading and transforming written, printed, or scribbled characters into machine-encoded texts or anything else a computer can alter.
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