EFFECTIVE APPROACH FOR SECURE IDENTIFICATION USING IRIS RECOGNITION SYSTEM

Abstract

Iris pattern recognition is one of the most trustworthy biometric identification technologies and it is a biometric identification and authentication approach that employs recognition algorithms on pictures of a person's eyes. In this research, an iris recognition system is used to provide secure authentication (M Patil and Gowda, 2017). Iris texture is a natural password with several benefits, including variability, stability, and unique characteristics for each individual, as well as its impact in the field of security. It puts an iris recognition technology ahead of various biometric human identification systems. The development of intelligent systems capable of identifying people on the basis of texture of their iris has recently piqued the interest of scientists. Using local and directional texture information, we suggested a new feature extraction method. The suggested feature extraction approach obtains local and global pertinent data while being faster than other methods. Using the CASIA iris dataset, the system is compared with various well-known and newer iris recognition systems in the experimental sections. Experiments show that the suggested system outperforms previous systems in terms of recognition rate (99.96%). (Hamouchene and Aouat, 2016)