Iris-Based Medical Analysis by Geometric Deformation Features | Elibrary Perpustakaan Universitas Riau

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Iris-Based Medical Analysis by Geometric Deformation Features

Lin Ma - Nama Orang; David Zhang - Nama Orang; Naimin Li - Nama Orang; Yan Cai - Nama Orang; Wangmeng Zuo - Nama Orang; Kuanquan Wang - Nama Orang;

Abstract—Iris analysis studies the relationship between human health and changes in the anatomy of the iris. Apart from the fact that iris recognition focuses on modeling the overall structure of theiris,irisdiagnosisemphasizesthedetectingandanalyzingoflocal variations in the characteristics of irises. This paper focuses on studyingthegeometricalstructurechangesinirisesthatarecaused by gastrointestinal diseases, and on measuring the observable deformations in the geometrical structures of irises that are related to roundness, diameter, and other geometric forms of the pupil and the collarette. Pupil- and collarette-based features are deﬁned and extracted. A series of experiments are implemented on our experimental pathological iris database, including manual clustering of both normal and pathological iris images, manual classiﬁcation by nonspecialists, manual classiﬁcation by individuals with a medical background, classiﬁcation ability veriﬁcation for the proposed features, and disease recognition by applying the proposed features. The results prove the effectiveness and clinical diagnostic signiﬁcance of the proposed features and a reliable recognition performance for automatic disease diagnosis. Our research results offer a novel systematic perspective for iridology studies and promote the progress of both theoretical and practical work in iris diagnosis.

Index Terms—Collarette-based feature, disease recognition, iris geometric deformation feature, pupil-based feature.

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Judul Seri: -
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Penerbit: : IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS., 2013
Deskripsi Fisik: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 1, JANUARY 2013 p. 223-231
Bahasa: Indonesia
ISBN/ISSN: 1089-7771
Klasifikasi: NONE
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Subjek: KESEHATAN
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Pernyataan Tanggungjawab: Lin Ma ... [et al.]

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Iris-Based Medical Analysis by Geometric Deformation Features

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