09-04-2013, 04:13 PM
Handwriting Recognition for Genealogical Records
Handwriting Recognition.ppt (Size: 1.05 MB / Downloads: 50)
Handwriting Recognition
Two different fields:
Online Handwriting Recognition
Writer's pen movements captured
Velocity, acceleration, stroke order etc.
Style can be constrained (e.g. Graffitti gestures)
Offline Handwriting Recognition
Only pixels
Cannot constrain style (documentsalready written)
Offline is harder (less information)
Genealogical records are all offline
Offline Handwriting Recognition
A difficult problem
Almost as many approaches as there are researchers
e.g.
Pattern Recognition
Statistical analysis
Mathematical modelling
Physics-based modelling
Subgraph matching / graph search
Neural networks / machine learning
Fractal image compression
... (too many to list) ...
Conclusions
Handwriting recognition is important for genealogy......but it is hard
Current methods don't work very well......and they don't operate much like the human brain
Future work should focus on understanding the brain, and emulating it as much as possible, e.g. With:
Hierarchical reasoning
Feedback
Lateral inhibition