DocumentCode
164337
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
fYear
2014
fDate
15-17 May 2014
Firstpage
180
Lastpage
183
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Development and Application Systems (DAS), 2014 International Conference on
Conference_Location
Suceava
Type
conf
DOI
10.1109/DAAS.2014.6842451
Filename
6842451
Link To Document