Efficient Iris and Eyelids Detection from Facial Sketch Images
In this paper, we propose a simple yet effective technique for an automatic iris and eyelids detection method for facial sketch images. Our system uses Circular Hough Transformation (CHT) algorithm for iris localization process and a low level grayscale analysis for eyelids contour segmentation proc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Computer Vision Center Press
2018-11-01
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| Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| Subjects: | |
| Online Access: | https://elcvia.cvc.uab.es/article/view/1044 |
| _version_ | 1818439943857373184 |
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| author | Tan Boonchuan Samsul Setumin Abduljalil Radman Shahrel Azmin Suandi |
| author_facet | Tan Boonchuan Samsul Setumin Abduljalil Radman Shahrel Azmin Suandi |
| author_sort | Tan Boonchuan |
| collection | DOAJ |
| description | In this paper, we propose a simple yet effective technique for an automatic iris and eyelids detection method for facial sketch images. Our system uses Circular Hough Transformation (CHT) algorithm for iris localization process and a low level grayscale analysis for eyelids contour segmentation procedure. We limit the input face for the system to facial sketch photos with frontal pose, illumination invariant, neutral expression and without occlusions. CUHK and IIIT-D sketch databases are used to acquire the experimental results. As to validate the proposed algorithm, experiments on ground truth for iris and eyelids segmentation, which are prepared at our lab, is conducted. The iris segmentation from the proposed method gives the best accuracy of 92.93 and 86.71 based on F-measure evaluation for IIIT-D and CUHK, respectively. For eyelids segmentation, on the other hand, the proposed algorithm achieves an average of 4 standard deviation which indicates the closeness of proposed method to ground truth. |
| first_indexed | 2024-12-14T18:04:30Z |
| format | Article |
| id | doaj.art-ee0f2401cf764cfea633fb8ddd42e3e6 |
| institution | Directory Open Access Journal |
| issn | 1577-5097 |
| language | English |
| last_indexed | 2024-12-14T18:04:30Z |
| publishDate | 2018-11-01 |
| publisher | Computer Vision Center Press |
| record_format | Article |
| series | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
| spelling | doaj.art-ee0f2401cf764cfea633fb8ddd42e3e62022-12-21T22:52:23ZengComputer Vision Center PressELCVIA Electronic Letters on Computer Vision and Image Analysis1577-50972018-11-0117110.5565/rev/elcvia.1044326Efficient Iris and Eyelids Detection from Facial Sketch ImagesTan Boonchuan0Samsul Setumin1Abduljalil Radman2Shahrel Azmin Suandi3Universiti Sains MalaysiaUniversiti Sains Malaysia Universiti Teknologi MARAUniversiti Sains MalaysiaUniversiti Sains MalaysiaIn this paper, we propose a simple yet effective technique for an automatic iris and eyelids detection method for facial sketch images. Our system uses Circular Hough Transformation (CHT) algorithm for iris localization process and a low level grayscale analysis for eyelids contour segmentation procedure. We limit the input face for the system to facial sketch photos with frontal pose, illumination invariant, neutral expression and without occlusions. CUHK and IIIT-D sketch databases are used to acquire the experimental results. As to validate the proposed algorithm, experiments on ground truth for iris and eyelids segmentation, which are prepared at our lab, is conducted. The iris segmentation from the proposed method gives the best accuracy of 92.93 and 86.71 based on F-measure evaluation for IIIT-D and CUHK, respectively. For eyelids segmentation, on the other hand, the proposed algorithm achieves an average of 4 standard deviation which indicates the closeness of proposed method to ground truth.https://elcvia.cvc.uab.es/article/view/1044iriseyelidscircular hough transformsketch images |
| spellingShingle | Tan Boonchuan Samsul Setumin Abduljalil Radman Shahrel Azmin Suandi Efficient Iris and Eyelids Detection from Facial Sketch Images ELCVIA Electronic Letters on Computer Vision and Image Analysis iris eyelids circular hough transform sketch images |
| title | Efficient Iris and Eyelids Detection from Facial Sketch Images |
| title_full | Efficient Iris and Eyelids Detection from Facial Sketch Images |
| title_fullStr | Efficient Iris and Eyelids Detection from Facial Sketch Images |
| title_full_unstemmed | Efficient Iris and Eyelids Detection from Facial Sketch Images |
| title_short | Efficient Iris and Eyelids Detection from Facial Sketch Images |
| title_sort | efficient iris and eyelids detection from facial sketch images |
| topic | iris eyelids circular hough transform sketch images |
| url | https://elcvia.cvc.uab.es/article/view/1044 |
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