Title: New Approaches to<scp>IRIS</scp>Recognition: One‐Dimensional Algorithms
Abstract:Abstract Currently, most iris recognition systems require a cooperative subject with frontal high quality iris image to obtain a descent recognition result. However, for a noncooperative subject who m...Abstract Currently, most iris recognition systems require a cooperative subject with frontal high quality iris image to obtain a descent recognition result. However, for a noncooperative subject who may be facing away from the camera, the obtained iris image may be blurry, deformable, or highly occluded. As a result, only a portion of the iris information may be extracted (a partial iris). Partial iris pattern analysis would be an important step for noncooperative subject iris recognition. Little research has been performed in this area. Traditional iris recognition systems typically use an iris signature that requires circular rotation for pattern matching purposes. The new approach generates one‐dimensional iris signatures that are orientation, scale, contrast, rotation, and illumination invariant. The system will work with less of the iris than commercial systems, and thus can enable partial iris recognition. In addition, this iris recognition system is more tolerant of noise. This method is simple to implement, and the computational complexity is relatively low.Read More
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: other
Indexed In: ['crossref']
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot