Iris Recognition System using 2D Log-Gabor Filter
Anap Manisha Baban, Pratap S. Vikhe · International Journal Of Recent Advances in Engineering & Technology · 2020
Iris recognition is critical stage for whole iris recognition process for personal identification.Iris segmentation is very important for iris recognition system.If the iris regions were not correctly segmented there would possibly exist four kinds of noises in segmented iris regions: eyelashes, eyelids, reflections and pupil, which will result in poor recognition performances.In this paper, we presented an iris recognition algorithm based on 2D Log-Gabor filters to encode the unique pattern of the iris into a bit-wise biometric template.The Hamming distance was employed for classification of iris templates, and two templates were found to match if a test of statistical independence was failed.Therefore, iris recognition is shown to be a reliable and accurate biometric technology.The proposed decision strategy uses these features to authenticate an individual's identity while maintaining a low false rejection rate.The algorithm was tested on CASIA iris image database and found to perform better than existing approaches with an overall accuracy of 99.96%.