Analýza očních duhovek

Abstract

This dissertation thesis discusses the task of iris recognition. Describes its history, introduces reader to the iris recognition problem and presents current state of development and describes available iris databases. It then presents three methods to iris occlusion detection and describes novel approach to iris recognition. The dissertation thesis continues with the methods results and compares them with other top performing methods. Finally, used and implemented software is brie y discussed and the thesis is concluded with overview of contributions and topics for future research. In particular, the main contributions of the dissertation thesis are as follows: 1. Overview of the recent state-of-the-art in the iris recognition area in all related elds. 2. Detailed description of the available iris databases and their properties. 3. Three novel methods for detecting iris occlusions. The rst one uses our own publicly available ground truth database. The second method achieved rst place in comparison with 97 other competing algorithms from the worldwide NICE.I contest. The third method was used as ground truth generation method for contestants in the MICHE II contest. In the last method, we presented multispectral modication of the widely used integrodierential operator. 4. Novel approach to iris recognition. Consisting of preprocessing steps to rule out negative iris images followed with the combination of feature representation and dissimilarity computing method for pairs of iris images. 5. Publicly available ground truth masks for iris occlusions to measure the performance of dierent methods.

This dissertation thesis discusses the task of iris recognition. Describes its history, introduces reader to the iris recognition problem and presents current state of development and describes available iris databases. It then presents three methods to iris occlusion detection and describes novel approach to iris recognition. The dissertation thesis continues with the methods results and compares them with other top performing methods. Finally, used and implemented software is brie y discussed and the thesis is concluded with overview of contributions and topics for future research. In particular, the main contributions of the dissertation thesis are as follows: 1. Overview of the recent state-of-the-art in the iris recognition area in all related elds. 2. Detailed description of the available iris databases and their properties. 3. Three novel methods for detecting iris occlusions. The rst one uses our own publicly available ground truth database. The second method achieved rst place in comparison with 97 other competing algorithms from the worldwide NICE.I contest. The third method was used as ground truth generation method for contestants in the MICHE II contest. In the last method, we presented multispectral modication of the widely used integrodierential operator. 4. Novel approach to iris recognition. Consisting of preprocessing steps to rule out negative iris images followed with the combination of feature representation and dissimilarity computing method for pairs of iris images. 5. Publicly available ground truth masks for iris occlusions to measure the performance of dierent methods.