Research on Iris Edge Detection Technology based on Daugman Algorithm
| Title | Research on Iris Edge Detection Technology based on Daugman Algorithm |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Shengquan, Wang, Xianglong, Li, Ang, Li, Shenlong, Jiang |
| Conference Name | 2019 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) |
| Date Published | March 2019 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-1223-7 |
| Keywords | biometrics (access control), Calculus, composability, convolution, current society, data privacy, daugman algorithm, edge detection, face recognition, Fingerprint recognition, frequency-domain analysis, highly confidential privacy, Hough algorithm, Identity Security, identity technology, Image edge detection, iris edge detection technology, Iris recognition, Metrics, personal privacy, pubcrawl, Resiliency, Scalability, security |
| Abstract | In the current society, people pay more and more attention to identity security, especially in the case of some highly confidential or personal privacy, one-to-one identification is particularly important. The iris recognition just has the characteristics of high efficiency, not easy to be counterfeited, etc., which has been promoted as an identity technology. This paper has carried out research on daugman algorithm and iris edge detection. |
| URL | https://ieeexplore.ieee.org/document/8873462 |
| DOI | 10.1109/ICAICA.2019.8873462 |
| Citation Key | shengquan_research_2019 |
- Hough algorithm
- security
- Scalability
- Resiliency
- pubcrawl
- personal privacy
- Metrics
- Iris recognition
- iris edge detection technology
- Image edge detection
- identity technology
- Identity Security
- biometrics (access control)
- highly confidential privacy
- frequency-domain analysis
- Fingerprint recognition
- face recognition
- edge detection
- daugman algorithm
- data privacy
- current society
- convolution
- composability
- Calculus