Iris Recognition Using Image Moments and k-Means Algorithm
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 fro...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/723595 |
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| _version_ | 1832551276831834112 |
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| author | Yaser Daanial Khan Sher Afzal Khan Farooq Ahmad Saeed Islam |
| author_facet | Yaser Daanial Khan Sher Afzal Khan Farooq Ahmad Saeed Islam |
| author_sort | Yaser Daanial Khan |
| collection | DOAJ |
| description | 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%. |
| format | Article |
| id | doaj-art-b4740e6f9ff54437b15a6cc55fb83a10 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-b4740e6f9ff54437b15a6cc55fb83a102025-02-03T06:01:53ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/723595723595Iris Recognition Using Image Moments and k-Means AlgorithmYaser Daanial Khan0Sher Afzal Khan1Farooq Ahmad2Saeed Islam3School of Science and Technology, University of Management and Technology, Lahore 54000, PakistanDepartment of Computer Science, AbdulWali Khan University, Mardan 23200, PakistanFaculty of Information Technology, University of Central Punjab, 1-Khayaban-e-Jinnah Road, Johar Town, Lahore 54000, PakistanDepartment of Mathematics, AbdulWali Khan University, Mardan 23200, PakistanThis 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%.http://dx.doi.org/10.1155/2014/723595 |
| spellingShingle | Yaser Daanial Khan Sher Afzal Khan Farooq Ahmad Saeed Islam Iris Recognition Using Image Moments and k-Means Algorithm The Scientific World Journal |
| title | Iris Recognition Using Image Moments and k-Means Algorithm |
| title_full | Iris Recognition Using Image Moments and k-Means Algorithm |
| title_fullStr | Iris Recognition Using Image Moments and k-Means Algorithm |
| title_full_unstemmed | Iris Recognition Using Image Moments and k-Means Algorithm |
| title_short | Iris Recognition Using Image Moments and k-Means Algorithm |
| title_sort | iris recognition using image moments and k means algorithm |
| url | http://dx.doi.org/10.1155/2014/723595 |
| work_keys_str_mv | AT yaserdaanialkhan irisrecognitionusingimagemomentsandkmeansalgorithm AT sherafzalkhan irisrecognitionusingimagemomentsandkmeansalgorithm AT farooqahmad irisrecognitionusingimagemomentsandkmeansalgorithm AT saeedislam irisrecognitionusingimagemomentsandkmeansalgorithm |