Performance Evaluation on Several Recognition Algorithms

Wan Zhang 1 Philippe Dosch 2 Salvatore Tabbone 2
2 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : How to evaluate the existing recognition algorithms under a uniform platform is an interesting research topic. Most of the comparisons among the algorithms only take use of the dataset in one field and the recognition accuracy as the standard, it is difficult to make people select a suitable algorithm in practice. In this paper, we try to show the various aspects of the algorithms based on the performance when they are applied to the datasets from different application fields. At the same time, two new performance evaluation measures, homogeneity and separability, are proposed and implemented for the comparisons. Experimental results help the researchers understand the algorithms better.
Type de document :
Communication dans un congrès
IAPR TC-10 (Technical Committee on Graphics Recognition). 7th IAPR International Workshop on Graphics Recognition - GREC 2007, Sep 2007, Curitiba, Brazil. IAPR, pp.86-89, 2007, Seventh IAPR International Workshop on Graphics Recognition - GREC 2007
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https://hal.inria.fr/inria-00193106
Contributeur : Philippe Dosch <>
Soumis le : vendredi 30 novembre 2007 - 15:40:13
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59

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  • HAL Id : inria-00193106, version 1

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Wan Zhang, Philippe Dosch, Salvatore Tabbone. Performance Evaluation on Several Recognition Algorithms. IAPR TC-10 (Technical Committee on Graphics Recognition). 7th IAPR International Workshop on Graphics Recognition - GREC 2007, Sep 2007, Curitiba, Brazil. IAPR, pp.86-89, 2007, Seventh IAPR International Workshop on Graphics Recognition - GREC 2007. 〈inria-00193106〉

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