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Biometric Face Recognition

[Video] Can Windows 10 face detection login fooled by twins?

Windows 10 features biometric login for safer and faster access to your device, the face-recognition login is something which can be very handy as majority users prefer password-less autologin feature but face-recognition also offers security without the hassle.

To test the face-recognition login security on Windows 10, The Australian newspaper conducted an informal test where it tried to fool Windows using sets of identical twins, and the results are as shown in the video shared below.

Windows Hello

MasterCard Testing System To Authenticate Payments Using Face Recognition

MasterCard has started testing a new program which will authenticate online purchases using a facial or fingerprint scan. There is no need to buy any additional hardware, the technology will utilize the users smartphone equipped with the front-camera or integrated finger-print scanner to approve the payment.

The new biometric security feature will create a digitized map of the scanned biometric data, convert that data into a hash and compare it to the hash stored on Mastercard's servers for verification at the the time of transaction for validation. Users will be able to pay through a mobile app with either their fingerprints or by blinking into the device camera, the blink is used to prevent someone from just holding up a picture of the user to spoof the system.

MasterCard FacePay

[Video] Windows Hello – Biometric Authentication For Instant Access On Windows 10

Despite being the most widely used authentication system of the digital world, Password based authentication have their own set of issues and challenges. Whether it be the compromised security situation due to leakage and brute-forcing of passwords or be it the inconvenience of memorizing passwords and the hassle to input them every time for access.

Microsoft has tried to tackle the issue in Windows 8 by using Picture Login Feature, their are also some third-party apps like face-recognition authentication app Blink! as an alternative. Taking things further, Microsoft will be introducing Windows Hello Biometric Authentication Technology in upcoming Windows 10 devices. The new authentication system utilizes a variety of biometric inputs like fingerprint, face, or iris scans, in addition to hardware and software fingerprinting to allow seamless, secure and instant user recognition and sign-in.

Windows Hello

According to Microsoft, Windows Hello was designed to replace insecure password based authentication and deliver enterprise grade security and privacy for it's users. The technology makes authentication a simple matter of looking at or touching a device running Windows 10 and be immediately signed in. The new technology is designed to be much safer than traditional passwords, the combination of user biometric data and the device signature are the keys to your Windows experience, apps, data and even websites and services. Do watch the video shared below for a demonstration and further introduction to the technology.

Blink! - Free Utility Let Users Login To PC By Simply Looking Into The Webcam

BlinkWe can tweak our Windows computers to enable auto-login feature letting by the password entry hassle every time the computer is booted, however this comes at the cost of leaving our data privacy and security susceptible to misuse.

But no worries as we now have a solution which secures our computer from unauthorized access as-well-as does not require the hassle of entering the password to gain access, free utility Blink! makes logging into Windows easier then ever, just look into a webcam for a moment, and you’ll be logged into your account automatically.

PC Login By Face Recognition

Blink! employs advanced face-recognition technology to provide quick, automatic and reliable login to one or many computer users easily, The innovative technology is even able to match the user with different haircuts, with or without eye-wear, beards or mustaches grown or shaved off while completely eliminating false positives even under varying lighting conditions.

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