Advertisement

Automatic reading of cursive scripts using a reading model and perceptual concepts

The PERPECTO system
  • M. Côté
  • E. Lecolinet
  • M. Cheriet
  • C.Y. Suen
Original paper

Abstract.

This paper presents a model for reading cursive scripts which has an architecture inspired by the behavior of human reading and perceptual concepts. The scope of this study is limited to offline recognition of isolated cursive words. First, this paper describes McClelland and Rumelhart's reading model, which formed the basis of the system. The method's behavior is presented, followed by the main original contributions of our model which are: the development of a new technique for baseline extraction, an architecture based on the chosen reading model (hierarchical, parallel, with local representation and interactive activation mechanism), the use of significant perceptual features in word recognition such as ascenders and descenders, the creation of a fuzzy position concept dealing with the uncertainty of the location of features and letters, and the adaptability of the model to words of different lengths and languages. After a description of our model, new results are presented.

Key words:Offline recognition – Cursive script recognition – Perception – Reading model – Activation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • M. Côté
    • 1
  • E. Lecolinet
    • 1
  • M. Cheriet
    • 2
  • C.Y. Suen
    • 3
  1. 1. ENST, SIG / CNRS URA 820, 46 rue Barrault, F-75634 Paris Cedex 13, France FR
  2. 2. E.T.S, Université du Québec, 1100 rue Notre-Dame Ouest, Montréal, Québec H3C 1K3, Canada CA
  3. 3. CENPARMI, Concordia University, Suite GM-606, 1455 de Maisonneuve Ouest, Montréal, Québec H3G 1M8, Canada CA

Personalised recommendations