Advantages and disadvantages of fingerprint recognition and iris recognition and application

    People's fingerprints tend to wear out, which affects recognition. Even a certain proportion of people may be unable to use fingerprint recognition because their fingerprints are light. In addition, since the current fingerprint recognition technology does not require living body support, there is a possibility of being stolen. The criminals can fool the fingerprint identification verification mechanism by copying the texture of the finger, and it is more tolerable that some criminals may even The victim's finger is directly cut off to complete the fingerprint authentication.
    Relative to fingerprint recognition, iris recognition is more complicated in texture, which greatly improves security and accuracy. More importantly, its verification mechanism requires live support, which makes the illegal molecules pass the verification by copying the iris texture. The possibility is almost zero, and even if the criminals remove the victim's eyes, they cannot be verified.
    So fingerprint recognition is really useless for iris recognition? Of course not, the reason why fingerprint recognition can become the mainstream biometric application in the current s machine industry is nothing more than these three reasons. First of all, its security has certain guarantees. Compared with the traditional password input method, its security and convenience are self-evident. Secondly, its implementation is technically simple, that is to say, the threshold is low. It is convenient for large-scale production and manufacturing; after Zui, of course, its price is more suitable, which guarantees that its blessing will not greatly increase the price of the s machine.
    Although iris recognition is much more powerful in terms of security and stability than fingerprint recognition, why is it still not popular on the machine? I believe that the difficulty lies in the difficulty of technology implementation and the price. It is complementary.
    It is precisely because of the more complicated iris texture that this makes the iris recognition technology need to extract more effective unit reading points in the process of realization (as mentioned above, iris recognition generally needs to extract 266 units of reading). Take points, and other biometrics are generally 13 to 16). This is actually a blade. It raises the accuracy of recognition and puts forward higher requirements on the complexity and efficiency of the algorithm. It is said that in the early stage, more costs are required in software development. In addition, in hardware, it also requires the cooperation of the camera to achieve the acquisition and extraction of iris images.
    In fact, it is these huge resources invested in software and hardware that make their price advantage in relative fingerprint recognition disappear. It should be said that the realization of iris recognition technology is not difficult. It is difficult to use such a small machine in the machine. Loading on the body and controlling it in a reasonable price range is a difficult problem that the industry needs to solve.

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