Multi Scale ICA Based IRIS Recognition Using BSIF and HOG
نویسندگان
چکیده
منابع مشابه
Multi Scale Ica Based Iris Recognition Using Bsif and Hog
Iris is a physiological biometric trait, which is unique among all biometric traits to recognize person effectively. In this paper we propose Multi-scale Independent Component Analysis (ICA) based Iris Recognition using Binarized Statistical Image Features (BSIF) and Histogram of Gradient orientation (HOG). The Left and Right portion is extracted from eye images of CASIA V 1.0 database leaving ...
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0167-8655/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.patrec.2011.08.014 ⇑ Corresponding author. Tel.: +86 024 83671318. E-mail address: [email protected] (X. Z In this paper, we present a noisy iris recognition frame which is learned by Adaboost on a 2D Gabor-based feature set. First, the irises are segmented and normalized by rubber sheet or simplified rubber sheet according ...
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ژورنال
عنوان ژورنال: Signal & Image Processing : An International Journal
سال: 2017
ISSN: 2229-3922,0976-710X
DOI: 10.5121/sipij.2017.8602