Improving liveness recognition techniques in iris codes for iris recognition.

An authentication method that combines various systems is called an iris recognition strategy. used to increase the iris recognition method's accuracy. Iris recognition has built-in flaws that put system security at risk. Among them are parody attacks. Compared to standard iris recognition techniques, enhanced iris recognition is more susceptible to parody assaults. The biometric sensor receives duplicate input during parodying. To determine whether a given input is unique or a copy, parody detection is utilised. Overcoming parody attacks on the iris recognition process is the goal. Using mean, median, variance, and local trinary pattern (LTP) approaches, the suggested methodology extracts a set of features from the iris. The retrieved biometric characteristics are then merged and used in deep learning. In order to identify mocked features, it is fed into a convolutional neural network. original purpose. The suggested method for iris recognition performs better than current liveness detection methods. [ABSTRACT FROM AUTHOR]