Bayesian network modeling of strokes and their relationships for on-line handwriting recognition.

DOI10.1016/j.patcog.2003.01.001zbMath1059.68103OpenAlexW2078314177MaRDI QIDQ1425941

D. Massart

Publication date: 14 March 2004

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2003.01.001

zbMATH Keywords

Bayesian networksDependency modelingOn-line handwritten character recognitionStroke modelStroke relationships

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (3)

On-line cursive Hangul recognition that uses DP matching to detect key segmentation points ⋮ An experimental comparison of machine learning for adaptive sketch recognition ⋮ A conditional independence algorithm for learning undirected graphical models

Uses Software

• NPen++

Cites Work

• Nonstationary hidden Markov model
• Model-based stroke extraction and matching for handwritten Chinese character recognition
• Hierachical random graph representation of handwritten characters and its application to Hangul recognition

This page was built for publication: Bayesian network modeling of strokes and their relationships for on-line handwriting recognition.