Abstract
We describe a general framework for the recognition of distorted images of lineal shapes, which relies on three items: a model to represent lineal shapes and their deformations, a model for the generation of distorted binary images and the combination of both models in a common probabilistic framework, where the generation of deformations is related to an internal energy, and the generation of binary images to an external energy. Then, recognition consists in the minimization of a global energy function, performed by using the EM algorithm. This general framework has been applied to the recognition of hand-drawn lineal symbols in graphic documents. © 2003 Elsevier B.V. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 2857-2867 |
| Journal | Pattern Recognition Letters |
| Volume | 24 |
| DOIs | |
| Publication status | Published - 1 Jan 2003 |
Keywords
- Deformable models
- Document analysis
- EM algorithm
- Graphics recognition
- Symbol recognition