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001-es BibID:	BIBFORM096259
Első szerző:	Naji, Sinan A.
Cím:	Iris Recognition Using Localized Zernike Features with Partial Iris Pattern / Sinan A. Naji, Róbert Tornai, Jasim Hussein Lafta, Hussein L. Hussein
Dátum:	2020
Megjegyzések:	Iris recognition is an attractive field of research for the purpose of identifying people based on unique patterns extracted from their iris. Accurate iris recognition requires high quality of iris images with the most discriminating features and minimum variation level. Analyzing and encoding of an iris image captured by a real (i.e., non-ideal) imaging system is a crucial issue. This paper presents a new iris pattern for human identification; i.e., partial iris pattern, instead of the whole iris. Then, a feature-set consisting of Gabor and Zernike moments is used for feature extraction and matching. The features are calculated to the ninth order. Two datasets are used for testing and evaluating the proposed technique. The experiential results show that the proposed technique is reliable, promising, and can be applied in real world imaging systems.
ISBN:	978-3-030-55339-5
Tárgyszavak:	Műszaki tudományok Informatikai tudományok könyvfejezet könyvrészlet
Megjelenés:	New Trends in Information and Communications Technology Applications / ed. Abbas M. Al-Bakry, Safaa O. Al-Mamory, Mouayad A. Sahib, Haitham S. Hasan, George S. Oreku, Thaker M. Nayl, Jaafar A. Al-Dhaibani. - p. 219-232. -
További szerzők:	Tornai Róbert (1976-) (informatikus, matematikus) Lafta, Jasim Hussein (1992-) (informatikus, matematikus) Hussein, Hussein Lafta
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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