A New Segmentation Method for Iris Recognition Using the Complex Inversion Map and Best-Fitting Curve

Autor:	Karim Faez, S. Attarchi, Mir Hashem Mousavi
Rok vydání:	2008
Předmět:	Ground truth Computer science business.industry Iris recognition Scale-space segmentation Pattern recognition Map Prewitt operator Computer Science::Computer Vision and Pattern Recognition Compass Median filter Segmentation Computer vision Artificial intelligence business
Zdroj:	Communications in Computer and Information Science ISBN: 9783540899846 CSICC
DOI:	10.1007/978-3-540-89985-3_45
Popis:	Iris segmentation plays a vital role in automated iris recognition. In this paper, we presented a novel method for iris segmentation using a complex mapping and best-fitting curve procedure. We used an intensity threshold method to extract the rough region of the pupil. For the outer boundary a median filter with prewitt compass edge detector were used to localize the rough region of the outer boundary. By selecting the bottom point of the pupil, which is not usually occluded by the eyelids and eyelashes, as a reference point, two sets of intersecting points between the horizontal lines and pupil’s inner and outer boundaries were created. Each point set was map into a new complex domain using the complex inversion map function and the best-fitted line was found on the range. Exact inner and outer boundaries of the iris were found by remapping the best-fitted lines to original domain. We tested our proposed algorithm by implementing a ground truth method. Experimental results show that the proposed method has an encouraging performance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::baf858fab2d084b3e69ceaf62aefa5a4 https://doi.org/10.1007/978-3-540-89985-3_45 Zobrazit plný text záznamu