Iris recognition using SVM and BP algorithms
نویسندگان
چکیده
منابع مشابه
Iris recognition using localized Zernike's feature and SVM
Iris recognition is an approach that identifies people based on unique patterns within the region surrounding the pupil of the eye. Rotation, scale and translation invariant, are very important in image recognition. Some approaches of rotation invariant features have been introduced. Zernike Moments (ZMs) are the most widely used family of orthogonal moments due to their extra property of being...
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Iris recognition has been increasingly used with very satisfactory results. Presently, the challenge consists in unconstraint the image capturing conditions and enables its application to domains where the subjects’ cooperation is not expectable (e.g. criminal/terrorist seeks, missing children). In this type of use, due to variations in the image capturing distance and in the lighting condition...
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In this paper, we seek a new method in designing an iris recognition system. In this method, first the Haar wavelet features are extracted from iris images. The advantage of using these features is the high-speed extraction, as well as being unique to each iris. Then the back propagation neural network (BPNN) is used as a classifier. In this system, the BPNN parallel algorithms and their implem...
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ژورنال
عنوان ژورنال: International Journal of Engineering Research and Advanced Technology
سال: 2018
ISSN: 2454-6135
DOI: 10.31695/ijerat.2018.3262