Wojciech Sankowski

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0167-8655/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.patrec.2011.08.018 ⇑ Corresponding author. E-mail addresses: szewczyk@dmcs.p.lodz.pl (R. S p.lodz.pl (K. Grabowski), mnapier@dmcs.p.lodz.pl (M. Nap (W. Sankowski), mariuszz@dmcs.p.lodz.pl (M. Zubert), na alski). URL: http://www.irisep.dmcs.pl (R. Szewczyk). This article describes an iris(More)
Iris recognition is accepted as one of the best biometric method. Implementing this method to the practical system requires the special preprocessing where the iris localization plays a crucial role. Iris localization consists of finding the iris boundaries as well as eyelids. In this paper a simple iris localization algorithm is proposed based on iris(More)
Iris recognition is considered as one of the best biometric method. Implementing this method to the practical system requires the special acquisition system for collecting iris image database, where the iris focus assessment plays a crucial role. Before iris focusing method is applied, iris localization in blurred image should be performed, and next the(More)
Iris recognition is accepted as one of the best biometric methods. Implementing this method into the practical system requires the special attention is paid to the iris images, which are being analysed. Current methods for iris identification can be distinguished with regard to two types of images: taken under near infrared illumination and white visible(More)
Iris recognition is accepted as one of the most efficient biometric method. Implementing this method to the practical system requires the special image preprocessing where the iris feature extraction plays a crucial role. Recognition is preceeded by iris localization which consists in finding the iris boundaries as well as eyelids. In this paper the short(More)
In this paper the Iris Finder program is presented for the first time. It is software for reliable iris localisation in images taken under visible light. The program is intended for researches on a system for automatic persons identification based on iris pattern. Performance of the software was verified on two databases. For the first database the program(More)
The main aim of the presented researches was to design and implement algorithm for eyelids localization that would be applied in iris recognition system. The authors' method searches for eyelids based on two criteria - presence of edges in the grayscale image of eye and intensity value in the sclera region. The algorithm was implemented in C++ language and(More)
Iris recognition is accepted as one of the best biometric methods. The extraction of a unique iris signature still remains impossible due to uncertainty of results in commonly used feature extraction methods. As a result of previous research, iris structure analysis was chosen as the best method for human identification based on iris pattern, in opposite to(More)
This paper presents the DMCSv1 multimodal bio-metric database collected by the authors. The database contains 3D face and hand scans acquired using the structured light technology. In parallel with this paper publication the DMCSv1 database is made publicly available for other research institutions. According to the authors' knowledge it is the first(More)