To perform this task, these systems benefit from pattern matching to identify various styles of handwritten letters. Handwriting recognition, also known as handwriting OCR or cursive OCR, is a subfield of OCR technology that translates handwritten letters to corresponding digital text or commands in real-time. However, thanks to the active research on this field, handwriting recognition improves its accuracy by introducing highly sophisticated algorithms designed to solve this problem. ![]() Thus, tools that read handwriting cannot provide the same degree of accuracy that OCR systems offer on typed characters. However, the diversity in human writing types, spacing differences, and irregularities of handwriting causes less accurate character recognition, as you can see in the featured image. Today, OCR technology provides higher than 99% accuracy with typed characters in high-quality images.
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