There are two ways we can interpret text depending on whether we want to perform the character recognition using a live camera or from an image. In this blog we will explore how OCR in Flutter recognizes the text. Better Search, accessibility, and usability of data.However, the magic doesn’t stop here, almost any industry you can think of will benefit greatly from OCR advantages. It’s much quicker to recover invoices while technology is on your hand. Way back in the early days of the new millennium OCR used to be a costly form of software reserved for imaging service bureaus and Fortune 500 businesses.įor almost any company, storing information is important, but can you imagine how much it would benefit public services and government companies? The modern office worker also takes for granted the process of making a scanned file searchable since OCR today is embedded in many applications, websites and content management systems. Digitization and sharing of files to avoid common user errors. By revolutionizing data and storage systems, there are many aspects that OCR technology has helped industries such as healthcare, human resources, banking, and insurance. Today, many sectors are using OCR software technology that earlier was broken due to problems such as data unusability, inaccuracy, and failure. What is the need for businesses to use OCR software? You can also fix errors using a dictionary or even Natural Language Processing (NLP). The system may not be 100% accurate and may require human intervention to correct any elements that have not been correctly scanned. The outcome is the text and later is converted into separate means such as word documents, PDFs, or even audio content through text-to-speech technologies. The text-containing areas can now be further broken down into lines, words, and characters, and the software can now match the characters through the comparison and different detection algorithms. The image is now divided into zones that identify areas of interest, such as where the images or text are, and this helps to start the process of extraction. In order to improve the accuracy of the operation, the image is then pre-processed where the brightness and contrast are adapted. The picture is first scanned and the elements of text and graphics are transformed into a bitmap, which is basically a black and white dot matrix. How is this really accomplished? Text on a picture is easily perceptible to us and we can detect characters and read the text, but it’s just a set of dots on a screen. OCR made it simpler and quicker to access those previous texts while enabling its users to edit with word processors like Microsoft Word or Google Docs. OCR technology has proved remarkably useful in digitizing historic newspapers by transforming them into completely searchable formats. OCR technology is used to turn virtually any form of written text image into machine-readable text data (typed, handwritten, or printed). Optical Character Recognition(OCR) is a technology that enables the identification of text within images, such as scanned documents and pictures.
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