[1] Iris image recognition is one of the emerging recognition methods in the security field and has received more attention in recent years. One of the newest challenges in the recognition system is if the biological characteristics of humans are changing, so it is necessary to use many methods or algorithms for the recognition of characteristics. But one of the advantages of the iris is that it is stable over a person's life span.
[2]The origins of modern iris image recognition were founded in 1986 when Leonard Flom and Aran Safir filed a patent for the first iris image recognition system but without any algorithm. [3], [4] The algorithm underlying the iris image recognition was developed by Dr. John Daugman, a Harvard Ph.D. graduate and well-known computer scientist at the University of Cambridge, England. Has the US Patent no. 5,291,560 on behalf of Daugman and deployed at Iridian Technologies, Inc., which is one of the world's leading vendors of iris-based systems.
[5] Among all the biometric characteristics, the texture pattern of the iris is believed to be the most distinguishable. Compared to facial or other characteristics that change more drastically, the iris remains relatively stable and is rarely affected by external elements, because it is located in the inner eye organ. In addition, which distinguishes other biometrics such as fingerprints, the iris is seen as a very reliable biometric technology due to its stability, and the high variation of the iris between individuals.
Based on the description above, this paper will examine the recognition of iris imagery using a hybrid backpropagation neural network and the bat algorithm.
- [1] Bremananth, R., 2016, A Robust Eyelashes and Eyelid Detection in Transformation Invariant Iris Recognition: In Application with LRC Security System, World Academy of Science, Engineering and Technology, 10: 1825–1831
- [2] Flom, L., and Safir, A., 1986, Iris recognition system (1986). US Patent 4641349, WIPO Patent 8605018
- [3] Daugman, J., 1994, Biometric personal identification system based on iris analysis. US Patent 5291560, WIPO Patent 9409446
- [4] Heath, D., 2001, An Overview of Biometrics Support in NetWare Through NMAS/Novel, USA (Online), http://support.novell.com/techcenter/articl-es/ana20010701.html, accessed 27th Desember 2020.
- [5] Bowyer, K., 2011, The results of the nice.ii iris biometrics competition. Pattern Recogn. Lett, 33(8), 965–969