Efficient Iris and Eyelids Detection from Facial Sketch Images
Boonchuan, Tan (Universiti Sains Malaysia. School of Electrical and Electronics Engineering)
Setumin, Samsul (Universiti Sains Malaysia. School of Electrical and Electronics Engineering)
Radman, Abduljalil (Universiti Sains Malaysia. School of Electrical and Electronics Engineering)
Suandi, Shahrel Azmin (Universiti Sains Malaysia. School of Electrical and Electronics Engineering)

Data:	2018
Resum:	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.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Iris ; Eyelids ; Circular hough transform ; Sketch images
Publicat a:	ELCVIA. Electronic letters on computer vision and image analysis, Vol. 17 Núm. 1 (2018) , p. 16-28 (Regular Issue) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v17-n1-boonchuan
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/v17-n1-boonchuan
DOI: 10.5565/rev/elcvia.1044

13 p, 1.5 MB

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