Survey on Iris Based Recognition Systems
Shashikala HK, Shreya Nupur Shakya, Pooja Panjiyar, Abhinav Singh Upreti, Shaik Dadapeer · International Journal of Software & Hardware Research in Engineering · 2020
In today's tech-savvy educational institutions, attendance is considered as an important factor for both students and institutional authorities.However, professors still have to go through manual procedures to record attendance which is rather slow and inefficient.Iris recognition verification is a reliable personal identification method used in biometric identification.Among all biometric methods, the automated personal identity authentication systems based on iris recognition is known to be the most reliable one.With the increase in development of iris recognition systems, there have been a number of proposals for various applications, including the attendance management system.Additionally, issues regarding proxy attendance, inaccuracy and students' unawareness of their attendance status arise undeniably.To the best of our knowledge, no Iris based recognition system has been implemented in our university for the purpose of attendance monitoring and information retrieval.The proposed project aims at developing a system which will facilitate professors in attendance monitoring of a classroom.This project also aspires to build flexibility for students to view their own information, attendance status, faculty information and timetable.The professors will also be able to view the attendance status of every student, information of all students and their own daily schedule.When fully implemented, we believe the system will assist in changing the traditional attendance management system into an accurate and efficient system.The system will also provide flexibility to the users to retrieve certain permitted information.Moreover, the system will utilize and implement concepts of deep learning to make a better system compared to the existing ones.