• Saquib Mohiuddin Siddiqui
• Dr. Syeda Gauhar Fatima
• Abdus Samee

Secure authentication has always been the foremost requirement in the advancing age of technology. From e-mail accounts to vaults and government to military database, authentication has been a major concern. The primitive methods were passwords and PIN numbers, but the advent of electronics, Bio-metric Authentication has taken the central stage. Bio-metric methods are based on the personal traits of a person. Unlike passwords, these traits cannot be changed or imitated, therefore making them secure. Among these methods, the spotlight is on Iris Recognition. A method that analyses the unique attributes of a person’s eye using image recognition, and stores it with his identity profile on the system. The proposed system uses an AI that analyzes the input iris image against the data that is available to scrutinize various emotional scenarios, and judge whether the person should be granted access.

Iris Recognition, Biometric Authentication, Image Recognition, AI

"Iris Recognition for Secure Biometric Authentication using Artificial Neural Networks & Pupil Dilation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.483-485, April-2019, Available :http://www.jetir.org/papers/JETIR1904872.pdf

"Iris Recognition for Secure Biometric Authentication using Artificial Neural Networks & Pupil Dilation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp483-485, April-2019, Available at : http://www.jetir.org/papers/JETIR1904872.pdf