Human Eye Iris Verification to Accept or RejectThe Identity of The Claimed by Ship Passengers
DOI:
https://doi.org/10.30649/japk.v8i2.47Keywords:
verification, iris recognition, false non match rate, genuine acceptance rate, false match rateAbstract
In the process of identifying the passenger identity of the ship there are some problems that arise is the problem identification and verification, which makes the process inefficient identity recognition. Verification problems will be solved by the method of iris recognition, which proved to be efficiently used to solve problems such as identity recognition process. The results showed that the method is able to verify the iris recognition eye imagery with a 100% success rate for the same test images to the image database of the same eye. Testing different test images with the image database from the same eye (intra-class) generates False Non Match Rate (FNMR) 15,90% and Genuine Acceptance Rate (GAR) can be calculated by the formula GAR = 1 – FNMR, or GAR = 1 – 15,90% the result is 84,10%. Testing different test images with the image database of different eyes (inter-class) generates a False Match Rate (FMR) 27,72%.
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