Iris Recognition Using Image Moments and k-Means Algorithm

المؤلفون المشاركون

Khan, Sher Afzal
Islam, Saeed
Ahmad, Farooq
Khan, Yaser Daanial

المصدر

The Scientific World Journal

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-04-01

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

This paper presents a biometric technique for identification of a person using the iris image.

The iris is first segmented from the acquired image of an eye using an edge detection algorithm.

The disk shaped area of the iris is transformed into a rectangular form.

Described moments are extracted from the grayscale image which yields a feature vector containing scale, rotation, and translation invariant moments.

Images are clustered using the k-means algorithm and centroids for each cluster are computed.

An arbitrary image is assumed to belong to the cluster whose centroid is the nearest to the feature vector in terms of Euclidean distance computed.

The described model exhibits an accuracy of 98.5%.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Khan, Yaser Daanial& Khan, Sher Afzal& Ahmad, Farooq& Islam, Saeed. 2014. Iris Recognition Using Image Moments and k-Means Algorithm. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050773

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Khan, Yaser Daanial…[et al.]. Iris Recognition Using Image Moments and k-Means Algorithm. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1050773

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Khan, Yaser Daanial& Khan, Sher Afzal& Ahmad, Farooq& Islam, Saeed. Iris Recognition Using Image Moments and k-Means Algorithm. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1050773

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1050773