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1. The difference between iris recognition and other biometric technologies such as face and fingerprint. The uniqueness of the iris is even if the identical twins are different, and they have good stability and will remain unchanged for the rest of their lives. They can achieve long-range distances; they can match faster, and they can do a comparison between two irises on the command cycle of a 64-bit computer. Anti-counterfeit is good, illegal people can sell fingerprints, but the iris is a precise living test can not do similar criminal activities on the iris. Of course, iris recognition also has certain limitations in certain situations. For example, when driving, it is more convenient to use fingerprint recognition than to use iris recognition.
For mobile phone manufacturers, as the competition intensifies, they gradually begin to focus on iris technology. China Branch Rainbow Pa has started to exchange and cooperate with some first-line mobile phone manufacturers.
2. In the smart age, the two major directions of iris recognition technology: One is the close range application. In addition to mobile phones, it also includes other handheld mobile devices. The other is a multimodal, high-throughput development that combines 2-3 meters of long-distance, multiple biometric technologies. In the long distance, we have already done a good job with the Ministry. In the area of ​​mobile phones, a scheme of China Unicom's Raptor is in the debugging and testing stage, and a zero-second recognition process is needed.
3. Eye Pay - Iris Recognition Cooler App Scene! Horsepower believes that unlocking is not the best way the iris can do. From the application perspective, the bottom layer is the iris imaging module and LED lighting, and the next layer is the iris recognition algorithm and user interaction, followed by the support of international standards such as TEE and FIDO. All of them are now entering the TEE environment. The iris also needs to enter the TEE environment. The iris technology is safe, but the mobile phone itself is insecure, and the upper layer is based on this level to build a payment application scenario. At present, some countries in the world are integrating iris information into identity cards. In particular, 850 million people have completed iris collection. Then it will be applied to some new industry applications, such as military, security, ATM payments.
4. The current three challenges of iris technology in smart phone applications. One is iris imaging and algorithms in complex environments. For example, in a complex light environment, the micro imaging module generates iris image quality and public evaluation of the iris recognition algorithm. Since the algorithms used on the mobile end are very different from traditional security, the entire user experience must be controlled within half a second. In response to the challenges of complex environments, the current learning methods have evolved from traditional modeling-based methods to the current method of data-based automatic learning, which has increased accuracy by 15%.
The second challenge is the iris recognition security solution in the Internet. The solution company needs turnkey security solutions for mobile platforms, not just iris recognition software and hardware solutions. Third, the iris “eyes†paid for the construction of the ecological environment. The construction of the ecological environment of irises is a process that requires the joint promotion of the industry, including the experience of application scenarios.
What is the challenge for Iris recognition to catch the Internet of Things?
In the era of Internet of Things, the iris technology ushered in new opportunities, but also will meet new challenges. Now that iris recognition is still a long way from being used on smart phones, how to better solve the challenges is crucial.