In 2016, there is no fingerprint on the mobile phone, and the mobile phone is embarrassed to take it out, and fingerprint recognition is a relatively mature biometric technology. Biometrics seems to be high-end, and it has quickly invaded into every aspect of our lives. So what technologies are everywhere?
The most common fingerprint recognition and speech recognition
The fingerprint recognition technology on the mobile phone first appeared on the motorcycle ME860, and then on the iPhone5s, the technology was completely ignited. At present, the flagship models of major manufacturers are equipped with almost all of this technology. Although the implementation principles are different, the basic functions are used to unlock fingerprints, and most of them are also developing towards the secure payment of fingerprint recognition.
In addition to fingerprint recognition, speech recognition is also the most widely used biometric technology. Classical voice assistants such as Siri, Google Now and Cortana are based on speech recognition technology. With the development of speech pattern recognition technology, future voice assistants will More and more intelligent, getting closer and closer to the manual assistant. In addition, in addition to the voice assistant, like a plus phone, the voice recognition technology is also applied to the voiceprint unlocking, which is comparable to the fingerprint unlocking function.
Iris, eye pattern and other recognition technologies
At MWC2015, Fujitsu showed us a prototype that supports human eye iris recognition technology. The recognition technology relies on Fujitsu's custom-designed high-output infrared LED system to perform iris recognition by reflecting this light onto a unique sensor element. At present, Fujitsu's mobile phone Arrows NX F-04G has already appeared as the world's first iris recognition mobile phone.
In China, the ZTE Grand S3 and the vivo X5 Pro also use similar technologies, mainly to scan the user's eye vein pattern to identify the user's identity, and also to encrypt the commonly used APP. Since the iris of the eye has a higher level of security than fingerprint recognition, it is very promising as a biotechnology that can be used in large quantities on mobile devices after fingerprinting and speech recognition.
Face recognition technology
Face recognition technology is a kind of biometric technology based on human facial feature information for identification. It integrates various professional techniques such as artificial intelligence, machine recognition, machine learning, model theory, expert system and video image processing. This technology is currently widely used in camera shooting and image processing of mobile phones. The key to the success of the face recognition system is whether it has a sophisticated core algorithm and a practical recognition rate and recognition speed.
With the development of technology, face recognition is no longer used solely in video image processing, and face recognition has begun to emerge in the field of mobile security. At this year's communications industry event CeBIT, Ma Yun demonstrated the singer's Smile to Pay scanning technology to German Chancellor Angela Merkel and Chinese Vice Premier Ma Kai, and purchased the 1948 Hanover commemorative stamp from Taobao. Compared to many other biometric technologies such as fingerprints and irises, face recognition is easier to promote on a large scale, and almost all users can participate at zero cost.
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