Handwriting Recognition System
About this Project
Designed and implemented a sophisticated handwriting recognition system for NOTEorious Notes, featuring advanced OCR technology, machine learning algorithms, and real-time text processing capabilities for seamless note digitization.
Write like on paper
A custom canvas captures every stroke with its pressure and timing, so writing feels natural on glass.
Instant conversion
Strokes are processed through machine learning models that turn handwriting into editable text as you write.
Seamless mode switching
One tap toggles between typing and handwriting, and both feed into the same note.
Tuned for real hands
Gesture detection is tuned on real, messy handwriting rather than clean lab samples.
Real handwriting is chaotic. Letters connect, sizes drift, and every hand is different. The system needed careful tuning of stroke segmentation and model thresholds before it stopped guessing wrong on everyday notes.
The final system ships inside NOTEorious and lets note-takers move between pen and keyboard without thinking about it.