Iris classification using WinICC and LAB color features

Pavaloi, Ioan; Ciobanu, Adrian; Luca, Mihaela

doi:10.1109/ehb.2013.6707272

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Cited by 9 publications

(2 citation statements)

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“…In order to assess the validity of our proposed method for the LAB histogram boundaries selection, we tested it on the dataset of 1.205 iris segmented images presented also in our previous paper [2]. The iris original images are part of the UBIRISv1 database [5][6] and their segmentation was performed automatically according to the details in [7].…”

Section: Methodsmentioning

confidence: 99%

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Color feature vectors based on optimal LAB histogram bins

Ciobanu

Pavaloi

Luca

et al. 2014

2014 International Conference on Development and Application Systems (DAS)

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Section: Methodsmentioning

confidence: 99%

“…In our first attempt to classify the iris segmented images presented in [2], we used the following empirically selected boundaries for the LAB histogram. The L axis was split into 5 intervals with the following limits: The same limits were applied to a and b axes and for all the different five intervals on the L axis (see Fig.…”

Section: Methodsmentioning

confidence: 99%