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The benefits of using otolith weight in statistical fish age classification: a case study of Atlantic cod species
Bermejo Sánchez, Sergi
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
In this paper, the discriminative capability of a combination of biological and shape features for fish age classification are analyzed. In particular, the usefulness of otolith weight in several species, in combination with other features such as otolith shape features and biological features such fish length, weight and sex is evaluated. The classification performance for different state-of-the-art statistical learning classifiers (i.e. several non-linear, non-parametric classifiers such different types of multi-class support vector machines) using an Atlantic cod database has been tested in which otolith weight has shown to be a powerful characteristic for classification purposes but the greatest accuracy is achieved when it is used simultaneously with other features.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Zoologia
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
Pattern recognition systems
Automated fish age classification
Atlantic cod otoliths
Statistical pattern recognition
Support vector machines
Reconeixement de formes (Informàtica)
Attribution-NonCommercial-NoDerivs 3.0 Spain

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