character recognition

Frequency: 6.89.5 per million words

Technology that can identify printed or handwritten characters.

Categories:

Examples (10)

  • Character recognition is essential for digitizing old documents.
  • Advances in character recognition have revolutionized data entry.
  • The software uses optical character recognition to convert scanned images into editable text.
  • Modern smartphones often feature built-in character recognition capabilities.
  • Researchers are constantly improving the accuracy of character recognition algorithms.
  • Handwritten character recognition remains a challenging area in AI.
  • The banking industry widely uses character recognition for processing checks.
  • Character recognition technology has made text searching much easier.
  • Many language learning apps now integrate advanced character recognition.
  • Poor image quality can significantly impact character recognition performance.