New colour SIFT descriptors for image classification with applications to biometrics

Document Type

Article

Publication Date

1-1-2011

Abstract

This paper first presents a new oRGB-SIFT descriptor, and then integrates it with other colour SIFT features to produce the novel Colour SIFT Fusion (CSF) and the Colour Greyscale SIFT Fusion (CGSF) descriptors for image classification with special applications to biometrics. Classification is implemented using a novel EFM-KNN classifier, which combines the Enhanced Fisher Model (EFM) and the K Nearest Neighbour (KNN) decision rule. The effectiveness of the proposed descriptors and classification method are evaluated using 20 image categories from two large scale, grand challenge datasets: the Caltech 256 database and the UPOL Iris database. Copyright © 2011 Inderscience Enterprises Ltd.

Identifier

78650737105 (Scopus)

Publication Title

International Journal of Biometrics

External Full Text Location

https://doi.org/10.1504/IJBM.2011.037714

e-ISSN

1755831X

ISSN

17558301

First Page

56

Last Page

75

Issue

1

Volume

3

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