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

E. Valveny; E. Martí

doi:https://doi.org/10.1016/S0167-8655(03)00144-2

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

22 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 language	English
Pages (from-to)	2857-2867
Journal	Pattern Recognition Letters
Volume	24
DOIs	https://doi.org/10.1016/S0167-8655(03)00144-2
Publication status	Published - 1 Jan 2003

Keywords

Deformable models
Document analysis
EM algorithm
Graphics recognition
Symbol recognition

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https://doi.org/10.1016/S0167-8655(03)00144-2

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title = "A model for image generation and symbol recognition through the deformation of lineal shapes",

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. {\textcopyright} 2003 Elsevier B.V. All rights reserved.",

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AU - Martí, E.

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N2 - 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.

AB - 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.

KW - Deformable models

KW - Document analysis

KW - EM algorithm

KW - Graphics recognition

KW - Symbol recognition

U2 - https://doi.org/10.1016/S0167-8655(03)00144-2

DO - https://doi.org/10.1016/S0167-8655(03)00144-2

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EP - 2867

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

SN - 0167-8655

ER -

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

Abstract

Keywords

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