Nowadays, everyone is not too familiar with fingerprint recognition technology, because many smart phones now have fingerprint recognition functions. It can be said that fingerprint recognition technology has long been known as a representative of biometrics. Apple introduced a smartphone with facial recognition in September last year. The series of technologies such as fingerprint recognition, facial recognition, and iris recognition are not high and become closely related to our lives.
The traditional fingerprint recognition technology is already familiar to everyone. The advanced version of the technology development is to optimize the optical and sound wave unlocking technology, and put the fingerprint recognition sensor under the screen glass panel. For example, Qualcomm's new generation of ultrasonic fingerprint sensors can penetrate OLED displays as thick as 1.2mm to scan, record and match fingerprints.
In addition, because Qualcomm's new generation of ultrasonic fingerprint sensors do not need to be opened, the fingerprint recognition area can be directly defined on the screen (which can support various forms in the screen, back and side), and the full screen mobile phone will get a better fingerprint recognition experience. No need to use the lame back fingerprint to unlock. Compared to the traditional capacitive and optical fingerprinting commonly used in the industry, this technology supports wet hand unlocking and has excellent dust resistance. Sweating and dust do not affect the sensitivity of fingerprint recognition.
The other is JDI's glass-based capacitive fingerprint sensor, which uses the basic touch function technology Pixel Eyes, which integrates the touch function into the glass substrate by detecting the change in capacitance that occurs when the finger touches the LCD surface. The substrate identifies the area touched by the finger by detecting a change in capacitance. The technology was originally designed to provide more accurate and sensitive touch recognition, and the second-generation Pixel Eyes products can recognize up to 1mm stylus tip.
Today, JDI has increased the accuracy of Pixel Eyes to the point where it can detect changes in capacitance caused by pits and ridges of individual fingerprints. This makes it possible to integrate the fingerprint recognition module using this technology on a transparent glass substrate. It should be noted that the traditional fingerprint recognition module is made of silicon as the main material and cannot be transparent.
Palmprint recognition has not yet entered the homes of ordinary people compared to fingerprint recognition.Some experts said that palmprint recognition technology and fingerprint recognition have something in common. Human palm prints are as unique and unrepeatable as fingerprints, but the steps of running equation calculations are only half of fingerprints. That is to say, the fingerprint can be done, the palm print is also OK (both graphical features), and the complexity is halved, and the security may be slightly insufficient. What if you add a living body test to the palm print? Security is greatly improved!
Statistics show that each Internet user in China has an average of about 25 accounts, about 6.5 passwords, and about 8 accounts a day. If you can log in like a QQ, Alipay, you only need to use the camera to sweep the palmprint landing is not convenient?
Recently, Microsoft and its partner Fujitsu introduced handheld vein authentication as a login method to Windows 10 Hello. Fujitsu's PalmSecure-certified sensor technology built into its business notebooks is fully integrated with Windows Hello, using Windows 10 Pro and industry-leading biometric options (including Windows Hello and Palm vein authentication) to build devices to prevent workplace Security attacks to enable contactless login options that do not involve facial cameras.
It is understood that a small number of companies (mainly in the financial sector) have already begun to use palm vein authentication. The PalmSecure sensor itself has existed for several years. The related technology Fujitsu has already been implemented in March 2014 and has a false recognition rate of 0.00001%. Fujitsu claims that this is the lowest of all biometric methods.
So how does Windows Hello and Palm vein authentication work?
The PalmSecure ID login runs on the Workplace Protect software. It requires the Microsoft AcTIve Directory as the basis to ensure domain name logins. The sensor captures a near-infrared image of a unique vein pattern, and the software acquires the required user data (including the biometric template) from the AD and decrypts the biometric data at the local end user device. The data is then matched to the scan template of the user's palm. Once the user is authenticated, the software will decrypt their password and grant them access.
Windows Hello (fingerprint):
Slide your finger over the sensor. The sensor will read your unique fingerprint. Once you confirm your identity, you are logged in.
Palm vein certification:
Place your hand over the sensor. The sensor will read your unique pulse map. Once you confirm your identity, you are logged in.
What are the advantages of logging in with PalmSecure ID?
Highly secure
Each person's vein pattern is unique. Moreover, this technique only works when blood circulation is detected.
High accuracy
The false acceptance rate of palm vein technology is 0.00001%, which is the lowest of all biometric devices. Palm veins are thicker than other textures and are easier to identify.
Hygienic and easy to use
All you have to do is put your hand on the sensor. And because it has no contact, it is completely hygienic.
Wide range of applications
This technology has many different applications in both remote and workplace settings. It is used worldwide in many different industries, from banks to governments to retail and healthcare.
Cost-effective
Using Palm vein technology means you can save money on expensive password reset requests.
Apple's face ID leads the way in biometric development
Compared with the palmprint recognition of Microsoft and Fujitsu, its universal rate may have to be verified by time; after all, the palm is so big, and the safety of the live detection is not enough, and the cost is increased. Face ID is an example!
Speaking of face ID, everyone should be familiar with iPhone X! But face recognition technology has been introduced in the Android 4.0 era. Today, because Apple has a face ID, many Android phones have restored face recognition technology, and most of the Android camp's face recognition algorithms use Face++. Despising the company's algorithm, its working principle is to rely on the front camera to achieve modeling, belonging to 2D modeling, such as the glory V10 at the last year's glory conference belongs to this range. Because its security and reliability are not up to the financial level, it is currently only used for daily work such as screen unlocking.
At present, only the iPhone X has a face ID that can truly reach the level of financial (payment) level and can compete with fingerprint recognition. Its working principle is to rely on the system of dot matrix projector, infrared camera and flood light sensing element to collect facial information. The dot matrix projector emits more than 30,000 invisible spots of light onto the human face, thereby drawing a three-dimensional modeled three-dimensional spectrum, and the infrared camera reads the dot pattern information and sends it to the A11 chip. The security quarantine is matched. The reflective sensing element is an image that is protected from ambient light when facial recognition is performed.
It is worth mentioning that Apple's face ID is still a learning algorithm. When you finish your first face entry, you will learn about your face changes as your usage time increases. You will continue to calibrate the recognition model based on the new data. You can continue to recognize you when you wear glasses, account beards, etc. And Apple has confidence in this, so Apple can make the face ID pay for the purchase on its Apple Pay.
Written at the end:
With the continuous development of mobile Internet technology and the continuous improvement of computing power of mobile terminals, mobile terminals have gradually supported a variety of biometric identification technologies, such as Apple's face ID, Huawei's fingerprint recognition and Samsung's iris recognition. Microsoft and Fujitsu have jointly launched palmprint recognition, or will lead the development of biometrics in another direction; in the future, these technologies will not only greatly enhance the security of the Internet, but also bring the security experience to biometrics. era.
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