Title :
Color feature vectors based on optimal LAB histogram bins
Author :
Ciobanu, Amelia ; Pavaloi, I. ; Luca, Mihaela ; Musca, E.
Author_Institution :
Inst. of Comput. Sci., Iasi, Romania
Abstract :
In this paper we propose an automatic method for computing the bin boundaries of complex 3D LAB histograms in order to extract optimal color feature vectors from digital images. The size of the feature vectors can be adapted to particular application needs. We tested our approach with very good results on an iris recognition problem solved empirically before.
Keywords :
feature extraction; image colour analysis; vectors; bin boundary; color feature vector; complex 3D LAB histogram; digital image; optimal LAB histogram bins; Digital images; Feature extraction; Histograms; Image color analysis; Image segmentation; Iris recognition; Vectors; LAB color space; feature vectors; histograms; iris recognition;
Conference_Titel :
Development and Application Systems (DAS), 2014 International Conference on
Conference_Location :
Suceava
DOI :
10.1109/DAAS.2014.6842451
