A model for image generation and symbol recognition through the deformation of lineal shapes

E. Valveny, E. Martí

    Research output: Contribution to journal › Article › Research › peer-review

    21 Citations (Scopus)

    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 languageEnglish
    Pages (from-to)2857-2867
    JournalPattern Recognition Letters
    Volume24
    DOIs
    Publication statusPublished - 1 Jan 2003

    Keywords

    • Deformable models
    • Document analysis
    • EM algorithm
    • Graphics recognition
    • Symbol recognition

    Access to Document

    Fingerprint Dive into the research topics of 'A model for image generation and symbol recognition through the deformation of lineal shapes'. Together they form a unique fingerprint.

    • Cite this