Blog / Why (Optical Character Recognition) is Crucial: Explore Aspects of OCR
You must have heard somewhere about the word OCR, but it might be confusing how it can works and what it exactly is. In simple terms, it is referred to as a text extraction or specifically works to convert image to text file. Ocr most often use by businesses and organization for capturing data from receipts, extract data from documents, and even read license plates.
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The demand for gathering accurate data for business files is at a great extent of level. OCR is the ultimate process that assists to fethc business information and works to get rid of human intervention. There are innumerable OCR software aournd the market that mainly designed to process with recognition and text extraction for certain business data. They all indicated as the patent sourcec for extracting text from scanned doucments and images and make the machine-readbale files. Also, the demanding source of card scanner lets you convert image to text file without any formatting distraction, even you can make a single click to copy text from image online.
OCR is an acronym for Optical Character Recognition, it is one of the best solutions to autmate the data extraction from the printed, handwritten, scanned or image file and then transofm the text into machine-firendly form. You can find that that extracted data is patently used for data processing like editing or searching.
Although OCR programs might functions slightly differently, still they all follow-up with a few standard rules. You can take a look that OCR functions mainly works through these step-by-step process:
At this phase, a image text scanner reads paper documents and transform them into a scanned picture. Rememebr that this is where the file is simply renedered in black and white, which after that can be considered for differentiayting the brighter (background) and darker (characters/elements) regions from each other.
This is another point where the OCR technpology commence with error correction by using different methods such as de-skewing, binarization, zoning and normalization for improving the accuracy of scanned photos.
Artifical Intelligence (AI) tools can be taken into account for identifying the original characters/elements from the existing scanned photo or document. This process can be done efficently through two main algorthms including patterns matching and feature extraction.
The most auspicious thing is that OCR program then swift turn extracted data into electronic documents. You can find that advanced OCR programs can entirely compare the extracted data from library of characters or glossary for ensuring maximum accuracy.
There are differnet OCR featrures that can be categorized entirely on what they are capable to capture. These includes: