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IJCATR Volume 4 Issue 1

Design of a Clinical Decision Support System Framework for the Diagnosis and Prediction of Hepatitis B

Adekunle Y.A
10.7753/IJCATR0401.1007
keywords : Haar Wavelet, Iris center localization, Wavelet Transform.

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In general, there are many methods of biometric identification. But the Iris recognition is most accurate and secure means of biometric identification. Iris has many properties which makes it ideal biometric identification. There are many methods used to identify the Iris location. To locate Iris many traditional methods are used. In this we proposed such methods which can identify Iris Center(IC) as well as localize its center. In this paper we are proposing a method which can use novel IC localization method on the fact that the elliptical shape (ES) of Iris varies according to the rotation of eye movement. In this paper various IC locations are generated and stored in database. Finally the location of IC is detected by matching the ES of the Iris of input eye image withes candidates in DB. In this paper we are comparing different methods for Iris localization.
@artical{a412015ijcatr04011007,
Title = "Design of a Clinical Decision Support System Framework for the Diagnosis and Prediction of Hepatitis B",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "4",
Issue ="1",
Pages ="1 - 85",
Year = "2015",
Authors ="Adekunle Y.A "}
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