• Priyanka Kulkarni

Out of many available biometric identification methods, iris recognition seems to be promising and most accurate method. This is because iris structure remains unchanged throughout one's lifetime. One of the live applications of this is: over 1000 ATMs of financial institutions in Chicago and Montreal are now using iris recognition in lieu of debit cards. Imagine the situation if iris recognition systems/scans used in ATMs are fooled or spoofed. Financial system will break with a huge damage. To avoid this, there must exist technique(s) to determine if iris recognition methods are being bypassed. This paper analyze the same concept of techniques used to detect contact lenses during iris recognition. It has been observed that not all methods can detect all types of contact lenses. Experimental results in this domain show that accuracy of textured lens detection can drop dramatically when tested on a manufacturer of lenses not seen in the training data, or when the iris sensor in use varies between the training and test data.

Keywords- Iris Recognition, Retina, SVM, Biometric

"Review of Contact Lens Detection in Iris Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.934-937, June 2019, Available :http://www.jetir.org/papers/JETIR1907G30.pdf

"Review of Contact Lens Detection in Iris Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp934-937, June 2019, Available at : http://www.jetir.org/papers/JETIR1907G30.pdf