Abstract: A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. is the process of capturing a high-contrast image of a person's iris using visible and near-infrared light. It is a form of biometric technology, like face recognition and fingerprinting. The proponents of iris scanning technology claim that it gives law enforcement officers the ability to compare suspects' iris scans with a database of existing pictures in order to verify or confirm a subjects identify. Since it is easier for someone to conceal or alter their fingers than it is to do the same with their eyes, they also assert that iris scans are quicker and more accurate than fingerprint scans. The iris recognition system consists of an automatic segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region. The extracted iris region was then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. Infrared light is used by biometric iris recognition scanners to illuminate the iris and identify distinct patterns that are invisible to the human eye. Eyelashes, eyelids, and specular reflections—common obscurants of the iris—are identified and removed by iris scanners. The ultimate result is a group of pixels that only include the iris. The bit pattern that encodes the information in the iris is then determined by looking at the pattern of the lines and colours in the eye. Finally, the phase data from 1D Log-Gabor filters was extracted and quantized to four levels to encode the unique pattern of the iris into a bit-wise biometric template. And finally, iris recognition is 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.
Keywords: Grid Search, Principle Component Analysis (PCA)
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DOI:
10.17148/IJARCCE.2022.11744
