Pengenalan iris
Tampilan
![](http://upload.wikimedia.org/wikipedia/commons/thumb/d/d7/ColourIris.png/220px-ColourIris.png)
Pengenalan iris adalah metode identifikasi biometrik otomatis yang memakai teknik-teknik susunan matematika pada citra-citra video dari satu atau dua iris dari mata seseorang, karena susunan kompleksnya bersifat unik, stabil, dan dapat dilihat dari beberapa jarak. Kemampuan yang ditekankan dari seluruh teknologi biometrik tergantung pada jumlah entropi[1] yang dapat dikodekan dan dipakai dalam pencocokan.
Referensi
[sunting | sunting sumber]- ^ Li, S.Z.; Jain, A. (2009). "Entropy, Biometric". Encyclopedia of Biometrics. Boston, MA.: Springer. hlm. 273–274. doi:10.1007/978-0-387-73003-5_72. ISBN 978-0-387-73002-8. Diakses tanggal Jun 18, 2021.
Bacaan tambahan
[sunting | sunting sumber]- WO 8605018 Leonard Flom, Aran Safir: Iris recognition system. 28 August 1986; also: US 4641349 issued 2/3/1987.
- US 5291560 John Daugman: Biometric personal identification system based on iris analysis. 1 March 1994
- Daugman, John (January 2004). "How iris recognition works" (PDF). IEEE Transactions on Circuits and Systems for Video Technology. 14 (1): 21–30. CiteSeerX 10.1.1.590.2630
. doi:10.1109/TCSVT.2003.818350.
- Daugman, John (2003). "The importance of being random: statistical principles of iris recognition" (PDF). Pattern Recognition. 36 (2): 279–291. Bibcode:2003PatRe..36..279D. CiteSeerX 10.1.1.115.1707
. doi:10.1016/S0031-3203(02)00030-4.
- Daugman, John (June 2005). "Results from 200 billion iris cross-comparisons". Technical Report UCAM-CL-TR-635.
- Zhaofeng He; Tieniu Tan; Zhenan Sun; Xianchao Qiu (15 July 2008). "Towards Accurate and Fast Iris Segmentation for Iris Biometrics". IEEE Trans Pattern Anal Mach Intell. 31 (9): 1670–84. doi:10.1109/TPAMI.2008.183. PMID 19574626.
- Zhaofeng He; Tieniu Tan; Zhenan Sun; Xianchao Qiu (June 2008). "Boosting Ordinal Features for Accurate and Fast Iris Recognition". Proc. of the 26th IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'08). hlm. 1–8.
- Kaushik Roy; Prabir Bhattacharya (2008). Iris Recognition: A Machine Learning Approach. VDM Verlag Dr. Müller. ISBN 978-3-639-08259-3.
- K. Roy; P. Bhattacharya (2009). "Variational level set method and game theory applied for nonideal iris recognition". 16th IEEE International Conference on Image Processing (ICIP'09). hlm. 2721–4. ISBN 978-1-4244-5653-6.
Pranala luar
[sunting | sunting sumber]- ISO/IEC 19794-6:2011 International standard for iris images
- John G. Daugman's original patent at USPTO