CLASSIFICATION DES EMPREINTES PALMAIRES UTILISANT DES DESCRIPTEURS SIFT FIXES NOMBRE

Auteurs

  • ANCA IGNAT University “Alexandru Ioan Cuza” of Iaşi, Romania, Faculty of Computer Science, str. Berthelot 16, 700483 Author
  • IOAN PĂVĂLOI Institute of Computer Science, Romanian Academy, Iași Branch, str. T. Codrescu, nr. 2, 700481, Iaşi, Romania Author

Mots-clés :

Points clés de transformation de caractéristiques invariantes à l'échelle, Correspondance des points clés, Classification des empreintes palmaires

Résumé

Dans cet article, nous utilisons, pour l'extraction de caractéristiques d'empreintes palmaires, des descripteurs générés avec l'algorithme SIFT (Scale-invariant feature transform). L'idée principale était de générer pour chaque image du jeu de données, le même nombre de points clés. Nous en avons déduit un algorithme qui, pour une image donnée, calcule un nombre fixe de points clés SIFT. La procédure d'appariement est basée sur l'équation du rapport du plus proche voisin. Pour tester l'efficacité de notre méthode, nous avons effectué des expériences sur cinq bases de données d'empreintes palmaires bien connues. Les résultats expérimentaux indiquent que ce type d'approche donne de très bons résultats de classification. Nos résultats sont meilleurs que ceux obtenus dans certains articles récents.

Références

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Téléchargements

Publiée

2022-07-01

Numéro

Rubrique

Génie biomédicale

Comment citer

CLASSIFICATION DES EMPREINTES PALMAIRES UTILISANT DES DESCRIPTEURS SIFT FIXES NOMBRE. (2022). REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE, 67(2), 219-224. https://journal.iem.pub.ro/rrst-ee/article/view/110