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Scanner with text recognition software software#
Scanner with text recognition software professional#
Scanner with text recognition software free#

Character-level accuracy : (Total correctly identified characters / Total characters scanned ) * 100.

Each error needs to be documented and tallied in one of two methods: In order to measure the accuracy of a particular OCR solution, a comparison needs to be made between the original document and the digitized output. How accurate is OCR?įor all intents and purposes, OCR is an extremely accurate and efficient way to digitize text.

Scanner with text recognition software software#

Using near neighbor analysis, OCR software looks for letters and words that are commonly seen together, and uses those “rules” in order to identify errors and make corrections.įor example, common digraphs (a pair of letters representing a single speech sound) including “qu”, “ea”, and “ch” can be reliably corrected when a mis-identification occurs based on these guidelines. Then, it matches the presence of these physical features with the corresponding letter.The advantage of this method is that it does not rely on a particular font or set of fonts for identification.Īfter each character has been identified, the resulting text is cross referenced against internal dictionaries and known lexicons to improve the overall accuracy of the final output. An algorithm breaks down each character into its individual features, identifying straight lines, curves, angles and intersections.

Feature extraction: Feature extraction is a more sophisticated and versatile method of character recognition that more closely emulates the way the human mind processes text.

The drawback of this method is that it relies on the input characters and the stored characters being a similar shape and scale.

Pattern recognition: Pattern recognition works by analyzing each character as a whole, comparing it against a matrix of characters stored within the software.

More sophisticated applications generally use one of two methods for character identification: In simple OCR applications, the raw pixel data of each character is compared directly against a database of known alphanumeric shapes to identify the closest match. It is during the character recognition process when the OCR software converts the text found in the document into its machine language equivalent.įirst, the document is analyzed for layout, identifying the locations of text blocks and paragraphs.Then, each location is broken down further into lines and words.įinally, each individual character is isolated ( called “segmentation”) to be translated. This maximizes the separation between the foreground ( the text ) and the background, reducing the chance of misidentified characters. Next, the color information is discarded, and the contrast of the resulting grayscale image is increased, resulting in a high contrast black and white image ( referred to as binarization).

Imperfections such as dust, stray marks, and digital artifacts are removed and edges are smoothed. In the next step, the OCR software will process the scanned image to facilitate the optimal conditions for character recognition.įirst, the software will correct any alignment issues introduced during the scanning process, rotating the image to ensure the document is properly oriented. Ideally, the scanner should be calibrated against a sample document, and in the case of bulk scanning, re-calibrated several times throughout the process.

Scanner with text recognition software free#

It is critical that the resulting image is an accurate representation of the original document, clear and free of any defects that could interfere with the OCR process.ĭocuments should be scanned in at the maximum resolution allowed, providing the OCR software with the best chance of accurately identifying the text. The first, and arguably most important part of the process is the initial scanning of the document. The process of OCR can be broken down into 5 simple steps. This is done using a combination of computer vision, pattern recognition, and artificial intelligence. Optical character recognition software is capable of extracting text contained in an image.

Scanner with text recognition software professional#

The most common use of OCR technology is the extraction of printed or handwritten text from physical documents during or immediately after the scanning process.īy converting image data into machine encoded text, scanned documents become significantly more functional, providing the user of the digital version with the ability to search, view, and edit it’s contents.įor this reason, OCR has become a popular feature of both professional and consumer grade scanning software, and is an absolutely essential technology for businesses that work with a large volume of scanned documents. Optical character recognition (OCR) is a process by which computer software is used to convert text from a scanned document or image into machine-readable text. If you have ever traveled by plane, sent a letter in the mail, or deposited a check in the ATM, you have already used OCR technology.