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
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;
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