DocumentCode
1936246
Title
Iris structure acquisition method
Author
Grabowski, Kamil ; Sankowski, Wojciech ; Zubert, Mariusz ; Napieralska, Malgorzata
Author_Institution
Dept. of Microelectron. & Comput. Sci., Tech. Univ. of Lodz, Lodz, Poland
fYear
2009
fDate
25-27 June 2009
Firstpage
640
Lastpage
643
Abstract
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 classical wavelet texture analysis methods. The first step of this procedure is the acquisition of iris structure. In this paper, a new approach regarding human iris image acquisition is presented, which allows the extraction of a structural model, i.e., the placement of iris muscles and caverns as well as their shape changes.
Keywords
biometrics (access control); feature extraction; image recognition; biometric method; classical wavelet texture analysis method; feature extraction; human iris image acquisition; iris recognition; iris structure acquisition method; Biometrics; Feature extraction; Humans; Image texture analysis; Iris recognition; Muscles; Pattern analysis; Shape; Uncertainty; Wavelet analysis; biometry; iris identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Mixed Design of Integrated Circuits & Systems, 2009. MIXDES '09. MIXDES-16th International Conference
Conference_Location
Lodz
Print_ISBN
978-1-4244-4798-5
Electronic_ISBN
978-83-928756-1-1
Type
conf
Filename
5289607
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