Handwriting recognition technology has made significant strides in supporting multiple languages, including Hebrew, Arabic, and many others.

Here are some key points:

Multi-Lingual Recognition Systems: Systems like the one developed by Yousri Kessentini and colleagues can recognize both Arabic and Latin scripts with high accuracy.
Their approach uses a unified method that doesn't rely on script-specific methodologies.

Text Normalization: For languages like Arabic, text normalization methods are crucial.
These methods include slope correction, text padding, skew correction, and straightening the writing line to improve recognition accuracy.

Hidden Markov Models (HMMs): Techniques like HMMs have been used to improve handwriting recognition for cursive scripts like Arabic.
These models help in recognizing characters without needing pre-segmentation.

Research and Development: Ongoing research continues to enhance the accuracy and efficiency of handwriting recognition systems for various languages https://www.litebluelite.com