A Novel Edge-Map Creation Approach for Highly Accurate Pupil Localization in Unconstrained Infrared Iris Images
Iris segmentation in the iris recognition systems is a challenging task under noncooperative environments. The iris segmentation is a process of detecting the pupil, iris’s outer boundary, and eyelids in the iris image. In this paper, we propose a pupil localization method for locating the pupils in...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/4709876 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556694380478464 |
|---|---|
| author | Vineet Kumar Abhijit Asati Anu Gupta |
| author_facet | Vineet Kumar Abhijit Asati Anu Gupta |
| author_sort | Vineet Kumar |
| collection | DOAJ |
| description | Iris segmentation in the iris recognition systems is a challenging task under noncooperative environments. The iris segmentation is a process of detecting the pupil, iris’s outer boundary, and eyelids in the iris image. In this paper, we propose a pupil localization method for locating the pupils in the non-close-up and frontal-view iris images that are captured under near-infrared (NIR) illuminations and contain the noise, such as specular and lighting reflection spots, eyeglasses, nonuniform illumination, low contrast, and occlusions by the eyelids, eyelashes, and eyebrow hair. In the proposed method, first, a novel edge-map is created from the iris image, which is based on combining the conventional thresholding and edge detection based segmentation techniques, and then, the general circular Hough transform (CHT) is used to find the pupil circle parameters in the edge-map. Our main contribution in this research is a novel edge-map creation technique, which reduces the false edges drastically in the edge-map of the iris image and makes the pupil localization in the noisy NIR images more accurate, fast, robust, and simple. The proposed method was tested with three iris databases: CASIA-Iris-Thousand (version 4.0), CASIA-Iris-Lamp (version 3.0), and MMU (version 2.0). The average accuracy of the proposed method is 99.72% and average time cost per image is 0.727 sec. |
| format | Article |
| id | doaj-art-9b79af8e66294da7bfd38a7537b32867 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-9b79af8e66294da7bfd38a7537b328672025-02-03T05:44:37ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552016-01-01201610.1155/2016/47098764709876A Novel Edge-Map Creation Approach for Highly Accurate Pupil Localization in Unconstrained Infrared Iris ImagesVineet Kumar0Abhijit Asati1Anu Gupta2Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani 333031, IndiaDepartment of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani 333031, IndiaDepartment of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani 333031, IndiaIris segmentation in the iris recognition systems is a challenging task under noncooperative environments. The iris segmentation is a process of detecting the pupil, iris’s outer boundary, and eyelids in the iris image. In this paper, we propose a pupil localization method for locating the pupils in the non-close-up and frontal-view iris images that are captured under near-infrared (NIR) illuminations and contain the noise, such as specular and lighting reflection spots, eyeglasses, nonuniform illumination, low contrast, and occlusions by the eyelids, eyelashes, and eyebrow hair. In the proposed method, first, a novel edge-map is created from the iris image, which is based on combining the conventional thresholding and edge detection based segmentation techniques, and then, the general circular Hough transform (CHT) is used to find the pupil circle parameters in the edge-map. Our main contribution in this research is a novel edge-map creation technique, which reduces the false edges drastically in the edge-map of the iris image and makes the pupil localization in the noisy NIR images more accurate, fast, robust, and simple. The proposed method was tested with three iris databases: CASIA-Iris-Thousand (version 4.0), CASIA-Iris-Lamp (version 3.0), and MMU (version 2.0). The average accuracy of the proposed method is 99.72% and average time cost per image is 0.727 sec.http://dx.doi.org/10.1155/2016/4709876 |
| spellingShingle | Vineet Kumar Abhijit Asati Anu Gupta A Novel Edge-Map Creation Approach for Highly Accurate Pupil Localization in Unconstrained Infrared Iris Images Journal of Electrical and Computer Engineering |
| title | A Novel Edge-Map Creation Approach for Highly Accurate Pupil Localization in Unconstrained Infrared Iris Images |
| title_full | A Novel Edge-Map Creation Approach for Highly Accurate Pupil Localization in Unconstrained Infrared Iris Images |
| title_fullStr | A Novel Edge-Map Creation Approach for Highly Accurate Pupil Localization in Unconstrained Infrared Iris Images |
| title_full_unstemmed | A Novel Edge-Map Creation Approach for Highly Accurate Pupil Localization in Unconstrained Infrared Iris Images |
| title_short | A Novel Edge-Map Creation Approach for Highly Accurate Pupil Localization in Unconstrained Infrared Iris Images |
| title_sort | novel edge map creation approach for highly accurate pupil localization in unconstrained infrared iris images |
| url | http://dx.doi.org/10.1155/2016/4709876 |
| work_keys_str_mv | AT vineetkumar anoveledgemapcreationapproachforhighlyaccuratepupillocalizationinunconstrainedinfraredirisimages AT abhijitasati anoveledgemapcreationapproachforhighlyaccuratepupillocalizationinunconstrainedinfraredirisimages AT anugupta anoveledgemapcreationapproachforhighlyaccuratepupillocalizationinunconstrainedinfraredirisimages AT vineetkumar noveledgemapcreationapproachforhighlyaccuratepupillocalizationinunconstrainedinfraredirisimages AT abhijitasati noveledgemapcreationapproachforhighlyaccuratepupillocalizationinunconstrainedinfraredirisimages AT anugupta noveledgemapcreationapproachforhighlyaccuratepupillocalizationinunconstrainedinfraredirisimages |