PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

On-Line Handwritten Documents Segmentation
Julien Blanchard and Thierry Artieres
In: International Workhop on Frontiers in Handwriting Recognition, Tokyo, Japan(2004).

This is the latest version of this eprint.

Abstract

This work concerns note-taking applications; it deals with poorly structured on-line handwritten documents segmentation such as pages of handwritten notes. We extend an existing system based on Probabilistic Feature Grammars. The probabilistic nature of this system allows considering lots of segmentation hypothesis, which is an advantage for poorly structured documents processing, but it goes with important algorithmic complexity. Our improvements concern the handling of this complexity using genetic algorithms, the definition of performance measurements that are adapted to the segmentation of on-line documents, and the evaluation of this segmentation approach on a collection of documents of various quality.

EPrint Type:Conference or Workshop Item (Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:435
Deposited By:Thierry Artieres
Deposited On:22 December 2004

Available Versions of this Item