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#BEST WAY TO WRITE TEXT RECOGNITION SOFTWARE HOW TO#
#BEST WAY TO WRITE TEXT RECOGNITION SOFTWARE PDF#
#BEST WAY TO WRITE TEXT RECOGNITION SOFTWARE ARCHIVE#
#BEST WAY TO WRITE TEXT RECOGNITION SOFTWARE SOFTWARE#

Make electronic images of printed documents searchable, e.g.

Make numeric versions of huge printed document, e.g.

Extracting business card information into a contact list.

Automatic insurance document key information extraction.

In airports, passport recognition and information extraction.

checks, passports, invoices, bank statements, and receipts.

Data entry for business documents, e.g.

More instances of use can be discovered as follows: OCR engines have been developed into a range of domain-specific OCR applications including receipt, invoice, check and the legal document. In OCR post-processing, the Levenshtein Distance algorithm is often used to further maximize OCR API outcomes. The grammar can also help to determine the language being scanned, for instance, a word is likely to be a verb or noun, provides higher accuracy. For instance, “Washington, D.C.” is more prevalent in English than “Washington DOC.” Grammar The “near neighbor analysis” can use frequencies for co-occurrence to correct mistakes, by noting that some words have been seen together.

#BEST WAY TO WRITE TEXT RECOGNITION SOFTWARE PDF#

The output stream can be a single string or a character file, but more advanced OCR systems retain the original page structure and, for example, create a PDF containing both the original image pages and a searchable textual image. The Tesseract library is using its dictionary to control the segmentation of characters. This method can be less efficient if the document contains words that are not in the lexicon, like proper nouns.įortunately, to improve accuracy, there are OCR libraries available online for free. For instance, this could be all the words in English, or a more technical lexicon for a particular field. OCR accuracy can be improved if the output is limited by a lexicon (a list of words permitted in a document). The following pictures show the visualization of these methods respectively:Ĭompare each subsection against the matrix database. Similarly, we can recognize where a character starts and finishes. We can recognize a line of text by searching for white pixel rows that have black pixels in between.

In the second method, pattern recognition works by identifying the entire character.

In the first method, the algorithm for feature detection defines a character by evaluating its lines and strokes.

There are two main methods for extracting features in OCR: In multiple language documents, the script may transform at the word level and therefore script identification is vital before the relevant OCR can be utilized to manage the particular script.įor OCR characters, various characters linked by image artifacts should be divided, single characters broken into several artifact-based pieces should be linked. Particularly useful in multi-column layouts and tables.Įstablish word and character shapes baseline, divides words when required. Identifies columns, paragraphs, captions, etc., as blocks. The binarization task is conducted as an easy and accurate way to distinguish text (or any other required image element) from the background. Remove positive and negative spots, smoothing edgesĬonvert an image to black-and-white (called a “binary image” because there are two colors). If the document was not correctly aligned when scanned, it may need to be tilted a few degrees clockwise or counterclockwise to create text lines completely horizontal or vertical.

#BEST WAY TO WRITE TEXT RECOGNITION SOFTWARE SOFTWARE#

OCR software often “pre-process” images to boost the chances of recognition. Before selecting an OCR algorithm, the image must be preprocessed for the image to be ready to be “read”. How Does OCR Work?ĭifferent fonts and ways to write a single character make this issue a challenge to solve. Such images and documents can be scanned as a document, a document photo, or a scene photo (e.g.

#BEST WAY TO WRITE TEXT RECOGNITION SOFTWARE ARCHIVE#

Just think about the amount of archive boxes full of paper that lies in a city or a government basement. With OCR a huge number of paper-based documents, across multiple languages and formats can be digitized into machine-readable text that not only makes storage easier but also makes previously inaccessible data available to anyone at a click. Optical Character Recognition (OCR) is an electronic conversion of the typed, handwritten or printed text images into machine-encoded text. What is Optical Character Recognition (OCR)?

#BEST WAY TO WRITE TEXT RECOGNITION SOFTWARE HOW TO#

This guide will provide you with all the information that you need to understand what is OCR, what are its advantage and how to make the most out of this technology in a business context.