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کامپیوتر و شبکه::
نرخ تشخیص
The prototype system by Wildes et al. also reports flawless performance with 520 iris images [7], and the Lim et al. system attains a recognition rate of 98.4% with a database of around 6,000 eye images.
The segmentation stage is critical to the success of an iris recognition system, since data that is falsely represented as iris pattern data will corrupt the biometric templates generated, resulting in poor recognition rates.
Lim et al. compare the use of Gabor transform and Haar wavelet transform, and show that the recognition rate of Haar wavelet transform is slightly better than Gabor transform by 0.9%.
The number of filters, their centre frequencies and parameters of the modulating Gaussian function in order to achieve the best recognition rate will be discussed in the next chapter.
There are a number of parameters in the iris recognition system, and optimum values for these parameters were required in order to provide the best recognition rate.
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