Sentence examples for recognition the text from inspiring English sources
(The profusion of special characters in the dictionary made it impossible to scan using optical-character recognition). The text was then tagged using SGML, a markup language designed to encode and organize large documents.
In the text-dependent recognition, the text spoken by the speaker is known; however, in the text-independent recognition, the system should be able to identify the unknown speaker from any text.
You use the app to snap an image of the business card, and then it performs optical character recognition to convert the text in the image into data your phone can recognize and then stores as a contact.
Named entity recognition (NER) is the text mining task of automatically identifying the entities mentioned in scientific articles, patents, and other text documents.
The transcribed video chunks are then pulled back together and reassembled into the complete video, with speech recognition software aligning the text to the video and adding time stamps.
His ambition actually stretches beyond facial recognition to analyzing the text of status updates and comments to decipher mood and context.
The main functionality is the recognition of text in mobile situations but the system can also deal with several specific recognition requests such as banknotes or objects through labels.
The most popular type of CAPTCHA is the text recognition variety.
We used Tesseract, an open source software library maintained by Google to take care of the text recognition.
We automatically create enormous, free and multilingual silver-standard training annotations for named entity recognition (ner) by exploiting the text and structure of Wikipedia.
Its image-recognition software can read the text on street signs, storefront signs, hotel names and so on.
