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Concept information

NLP methods and tools > signal processing > optical character recognition

Terme préférentiel

optical character recognition  

Définition

  • The process of translating images of handwritten, typewritten, or printed text into a format understood by machines. (Shreya et al., Optical Character Recognition using Convolutional Neural Network, in 2019 6th International Conference on Computing for Sustainable Global Development, 2019)

Concept générique

Synonyme(s)

  • OCR

Contexte(s) définitoire(s)

  • Optical character recognition (OCR) is a technique for converting scanned document images into character codes. (Sibun & Farrar, 1994)

Exemple

  • The OCR engine generates the bounding box sizes and locations for all tokens as well as the text within each box. (Lee, Li, Dozat, Perot, Su, Hua, Ainslie, Wang, Fujii & Pfister, 2022)
  • We have presented a new technique for the understanding of English document images without optical character recognition. (Sibun & Farrar, 1994)
  • We still tried to apply some Optical Characters Recognition (OCR) tools to convert it into digital texts but the special characters existing in Sereer were not recognised. (Gauthier, Ndiaye & Guissé, 2024)

Traductions

URI

http://data.loterre.fr/ark:/67375/8LP-W6SNL23G-6

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