![]() With development and innovation focused on a single solution, the product can meet the needs of an expanding capture market and support organizational agility in transitioning capture to the cloud. OpenText™ Intelligent Capture Release 16 EP6 leverages the existing Captiva platform and includes many of the core capture technologies from OpenText. Given that document and data capture is the starting point of any digital transformation initiative, OpenText™ is investing heavily to both support existing customers in their transformation and deliver next generation capture automation solutions that meet the requirements of the most demanding capture environments. Leading capture analyst, Harvey Spencer Associates, projects 10% + growth rates for the capture market through 2022. While taking images of documents enables them to be digitally archived, OCR provides the added functionality of being able to edit and search those documents.The capture market continues to evolve both in terms of expanded use cases and extended automation capabilities, with today’s capture market has moved beyond the mailroom to embrace mobile capture, machine learning and AI. It also enables actions that are not capable with physical copies such as compressing into ZIP files, highlighting keywords, incorporating into a website and attaching to an email. The main advantages of OCR technology are saved time, decreased errors and minimized effort. Translating words within an image into a specified language.īenefits of optical character recognition.Recognizing text, such as license plates, with a camera or software.Placing important, signed legal documents into an electronic database.Electronically depositing checks without the need for a bank teller.Archiving historic information, such as newspapers, magazines or phonebooks, into searchable formats.Deciphering documents into text that can be read aloud to visually-impaired or blind users.Indexing print material for search engines.Scanning printed documents into versions that can be edited with word processors, like Microsoft Word or Google Docs.OCR can be used for a variety of applications, including: Users should correct basic errors, proofread and make sure complex layouts were handled properly before saving the document for future use. When a character is identified, it is converted into an ASCII code that can be used by computer systems to handle further manipulations. For example, the capital letter “A” may be stored as two diagonal lines that meet with a horizontal line across the middle. Features could include the number of angled lines, crossed lines or curves in a character for comparison. Feature detection- OCR programs apply rules regarding the features of a specific letter or number to recognize characters in the scanned document.Pattern recognition- OCR programs are fed examples of text in various fonts and formats which are then used to compare, and recognize, characters in the scanned document.Characters are then identified using one of two algorithms: OCR programs can vary in their techniques, but typically involve targeting one character, word or block of text at a time. The dark areas are then processed further to find alphabetic letters or numeric digits. The scanned-in image or bitmap is analyzed for light and dark areas, where the dark areas are identified as characters that need to be recognized and light areas are identified as background. Once all pages are copied, OCR software converts the document into a two-color, or black and white, version. The first step of OCR is using a scanner to process the physical form of a document. Once placed in this soft copy, users can edit, format and search the document as if it was created with a word processor. The process of OCR is most commonly used to turn While software typically handles the advanced processing.Ĭan also take advantage of artificial intelligence ( AI) to implement more advanced methods of intelligent character recognition (ICR), like identifying languages or styles of handwriting. Hardware, such as an optical scanner or specialized circuit board is used to copy or read OCR systems are made up of a combination of hardware and software that is used to convert physical documents into machine-readable text. OCR is sometimes also referred to as text recognition. The basic process of OCR involves examining the text of a document and translating the characters into code that can be used for data processing. OCR (optical character recognition) is the use of technology to distinguish printed or handwritten text characters inside digital images of physical documents, such as a scanned paper document.
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