التفاصيل البيبلوغرافية
| العنوان: |
Recognition of Human Iris Patterns for Biometric Identification |
| المؤلفون: |
Libor Masek |
| المساهمون: |
The Pennsylvania State University CiteSeerX Archives |
| المصدر: |
http://www.csse.uwa.edu.au/~pk/studentprojects/libor/LiborMasekThesis.pdfTest. |
| سنة النشر: |
2003 |
| المجموعة: |
CiteSeerX |
| مصطلحات موضوعية: |
iris recognition, biometric identification, pattern recognition, automatic segmentation. CR Categories, I.5.1 [Pattern Recognition, Models – Statistical, I.4.6 [Image Processing and Computer Vision, Segmentation- Edge and feature detection, I.4.7 [Image Processing and Computer Vision, Feature Measurement- Feature representation. ii |
| الوصف: |
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Most commercial iris recognition systems use patented algorithms developed by Daugman, and these algorithms are able to produce perfect recognition rates. However, published results have usually been produced under favourable conditions, and there have been no independent trials of the technology. The work presented in this thesis involved developing an ‘open-source ’ iris recognition system in order to verify both the uniqueness of the human iris and also its performance as a biometric. For determining the recognition performance of the system two databases of digitised greyscale eye images were used. The iris recognition system consists of an automatic segmentation system that is based on the Hough transform, and is able to localise the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.5112Test; http://www.csse.uwa.edu.au/~pk/studentprojects/libor/LiborMasekThesis.pdfTest |
| الإتاحة: |
http://www.csse.uwa.edu.au/~pk/studentprojects/libor/LiborMasekThesis.pdfTest |
| حقوق: |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| رقم الانضمام: |
edsbas.7A1E5C4B |
| قاعدة البيانات: |
BASE |
