EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 10·5 min read
Back to the Future of Handwriting Recognition
TL;DR
Fifty years ago, the RAND Corporation developed GRAIL, a handwriting recognition system that allowed users to interact with computers using a pen and tablet. GRAIL's design prioritized natural user communication, making it a pioneering tool that remains relevant today.
✦ Why It Matters
Explore modern handwriting recognition tools inspired by GRAIL to enhance user interaction in your applications.
Key Takeaways
- Experiment with smoothing techniques to improve handwriting input quality.
- Implement thinning to reduce data points while preserving stroke shape.
- Explore interactive visualizations to understand recognition algorithms.
- Access GRAIL's source code on GitHub for practical insights.
How It Works
Groner's handwriting recognition scheme involves smoothing and thinning techniques. Smoothing averages new data points with previously smoothed points to reduce noise from the tablet's discrete grid.
Thinning removes unnecessary data points by discarding those within a defined proximity to the last accepted point, thus simplifying the input while maintaining essential stroke characteristics.