| Title: | Comparing the performance and accuracy of algorithms applied to tattoos images identification |
| Authors: | Horta, Agnus Azevedo Magalhães, Léo Pini |
| Citation: | Journal of WSCG. 2018, vol. 26, no. 1, p. 41-47. |
| Issue Date: | 2018 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | článek article |
| URI: | wscg.zcu.cz/WSCG2018/!_2018_Journal_WSCG-No-1.pdf http://hdl.handle.net/11025/34587 |
| ISSN: | 1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (on-line) |
| Keywords: | identifkace tetování;SIFT;ASIFT;BOV;Fisherovy vektory;optimální klasifikátor lesních cest;podpora vektorového stroje;měkká biometrie;načítání obrázků na základě obsahu |
| Keywords in different language: | tattoo identification;SIFT;ASIFT;BOV;Fisher vectors;optimum-path forest classifier;support vector machines;soft biometric;content-based image retrieval |
| Abstract in different language: | This article presents results of the simulation of SIFT based algorithms in the context of the identification of tattoos. The algorithms studied are the SIFT - Scale Invariant Feature Transform, ASIFT - Affine SIFT, BOV - Bag of Visual Words and FV - Fisher Vector. The use of the OPF - Optimum-Path Forest and SVM - Support Vector Machine classifiers is exploited in conjunction with SIFT and ASIFT algorithms as well as BOV and FV. The present study uses the National Institute of Standards and Technology (NIST) Tatt-C dataset in a reduced and complete version. This work uses runtime and accuracy to compare the results of the simulations. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | Volume 26, Number 1 (2018) |
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