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.