Face Verification Solutions for Digital Identity Security

1. The Importance of Face Veri?cation for Digital Identity Security 04 Apr  By Tony Raval |  In Biometrics, Facial Recognition | Face veri?cation may now be a fun way to unlock your smart devices and play dress-up, but it was meant to be a deterrent for data theft and to ease user onboarding. Including face ID veri?cation as part of your identity veri?cat solution for Know Your Customer (KYC) can be a smart move. As face veri?cation gets embraced into our everyda lives, some of us have forgotten the history and overlying purpose it plays in anti-money laundering (AML) and d identity security.

2.   Di?erence between Face Veri?cation and Face Recognition   Face recognition and face veri?cation are used almost interchangeably, but they are not the same thing. To unde the di?erences, one simply has to understand the meanings of recognition and veri?cation. Recognition is all abo recognizing the face and veri?cation is about matching an identity to the face. Maybe the confusion over face recognition and face veri?cation stems from the fact that face recognition has a h and face veri?cation is only a recent term. Because of that history, we know more about face recognition than its descendant face veri?cation. Though face recognition is used to identify and verify a person’s identity, in terms of identity veri?cation solutions, it’s called face veri?cation.   Face Recognition Face Veri?cation Face detection uses biometrics along with various While face recognition is used to ?nd a face in a cro algorithm techniques to identify a face. Based on the video, or image, face veri?cation pushes the algorith type of algorithm, it can detect motion, skin and eye further to match the physical face to a known identi color, and the full face from a distance. Some algorithms Face veri?cation uses biometric authentication to ve can also unravel blurred images, and adjust for lighting person’s identity against known sources. Simply put sources, backgrounds, and other people. matches your live face against credible sources wh recognition involves identifying the face, be it live o  

3. The funny thing about face recognition technology is that a lot of millennials view it as tech created in their era. W in fact, facial recognition research started way back in the 1950s. It was already being used way before the millen arrived. One thing millennials can take credit for is the various applications for face recognition.   Uses of Face Recognition   As much as many of us admire face recognition as a cute feature on our smart devices, face veri?cation does so more for digital identity security. However, that doesn’t lessen the risks facial recognition apps put all their users entertainment. And with some major corporations refusing to share their data with law enforcement o?cials, wha exactly is your face recognition data being used for?   Global ID Veri?cation Facial veri?cation systems are installed at airports, borders, and points of entry into countries, states, and regions people move through these points of entry and across public spaces, security systems are equipped with facial detection and recognition software ready to identify those who try to evade the system. Due to its cross-border n it needs global ID veri?cation capabilities to get the job done.   Real-Time Identity Veri?cation Law enforcement agencies were one of the ?rst adaptors of face veri?cation and continue to push for its widespr adaptation across the globe in the name of digital identity security. This is why they are always clamoring for acc private corporate facial veri?cation systems to increase match success. Real-time identity veri?cation is a crucial for these agencies.

4.   Age Veri?cation One place face ID veri?cation can be put to good use is on online gaming and gambling platforms. Facial veri?ca systems can protect minors while being a deterrent to bad actors who have a tendency to in?ltrate these sites. A veri?cation will keep minors out of age-restricted sites and reduce the impact of scammers who love to pretend kids.   KYC Veri?cation and AML Compliance Next to global security, automated KYC veri?cation is the best use of face veri?cation. As part of your user or cust onboarding strategy, face veri?cation can be part of your permanent digital identity security system. In banking o high-risk industries with assets to protect, global ID veri?cation will give your face veri?cation system an added e terms of asset protection and transaction monitoring. You can choose to implement your own face veri?cation sy (a bad idea) or outsource from a face veri?cation service.   Mobile Face Veri?cation Do you want to ?nd out who is related to you or not? There’s a face app for that. It’s one of many face recognition that perform di?erent functions depending on the algorithm. For instance, popular face recognition apps like App which allows users to unlock their smart device, and FaceAPP which allows them to change their identity can be utilized for mobile face veri?cation. What your face veri?cation system is capable of will be based on the type of algorithm that guides it. How the da used will be based on the people controlling the face veri?cation system. And many of the bene?ts or problems face veri?cation will be based on the algorithm and the people that control the system.

5.   Bene?ts of Face Veri?cation   Face veri?cation is rooted in arti?cial intelligence, the Internet of Things (IoT), and machine learning and when use correctly there are a lot of good things that can come from that. In the last few years, there has been a push into blockchain which has the potential to rede?ne face veri?cation and digital identity security. Even without the add blockchain, there are still a lot of bene?ts of using face veri?cation. Safer online Improved security systems for law enforcement Better picture quality with camera autofocus Smoother user and customer onboarding Age veri?cation Automated KYC Improved digital identity management Overall, the convenience of not remembering passwords or looking for keys In fact, many of the uses of face recognition and the bene?ts we reap with face veri?cation. The convenience of n having to memorize passwords and the connectivity of global ID veri?cation makes a huge di?erence in our pers data security and how we do business. Real-time identity veri?cation gives us the ability to validate the ID in real- and save lives that could have been lost to human tra?cking and protect the vulnerable in our society. Though we love those facial recognition apps that allow us to unlock phones, make silly faces, and play games, improved digital identity management is supposed to be one of the major bene?ts of face veri?cation. However,

6. unsecured face recognition applications have made digital identity security a challenge. And knowing cybercrim won’t be long until your child’s biometric features can be aged to open his adult accounts.   The Trouble with Facial Veri?cation Systems   Of course, once you are dealing with ever-changing technology, there are going to be a few hiccups along the w Ironically, what held back the development of face veri?cation was technology, public fear, and proper databases comprehensive global ID veri?cation. Even with everything in place, face veri?cation can be your best bet for digi identity security or your worst. Because after all, the human factor is still involved, and with it comes a bit of trouble. One particular irony of face veri?cation is that it can actually end up not matching faces! And while we can expect some technical issues, sad having the technology used for ill, is something all developers and users must be wary of.   Mismatches and Poor Match Rates As mentioned before, 100% perfection isn’t expected, but 58% means a child had better chances of identifying th person than that algorithm did. The harsh reality of the facial veri?cations systems industry is that miss-matches low match rates do exist. Glitches, settings issues, database access, and compatible software and hardware mak acquiring higher match rates more di?cult.   Digital Identity Management To acquire high match rates, you need access to a database that is credible and has validated images of the indiv like the U.S. Department of State. And that is the problem with most facial veri?cation services. No credible datab

7. and no access to one. Then there is the added nightmare of improper security around the faceprint data that can to leaks, stalking, and identity theft.   Altered or Tampered Images As the technology evolves there is becoming less and less of an issue with altered or tampered images. Howeve technology evolves, altered images are getting more sophisticated over time. Not only that, but masks also as we been wearing for the last two years, can complicate matters when attempting to match a complete image. Comp Generated Imagery (CGI) allows face recognition apps users to alter their faces and that is why most of the data generated on these apps are practically useless, but not harmless.   Bias and Privacy Concerns There is a lot of concern around the management of faceprint data and rightly so. Even government security age can’t guarantee absolute protection. Tech giants like Google and Apple go to extreme lengths to protect persona even from potential governmental interference. And they may be right in their approach as government agencies been found in putting their human biases into the system leading to racial pro?ling and increased miss-matches.   Marketing Data Collection Research and data are necessary for continued success in marketing. How that data is collected and used is ano matter altogether. Imagine walking past a TV and based on the recognition software, you are now bombarded w that match your assumed age, race, and gender. That is how far marketing data collection has become and thou bene?ts marketers and businesses, customers are not fully on board with using their facial images to sell them g and services.

8.   Face Veri?cation as Part of Your Identity Veri?cation Solution   Despite the fears over privacy, bias, deep fakes, and racial pro?ling, face veri?cation is already a part of our every existence in cameras, smart devices, machine-readable passports, and other forms of face ID. So, embracing fac veri?cation is not the real issue, using it correctly is. In fact, many of the problems with face ID veri?cation stemme from its users and applications. A face veri?cation system is supposed to have a match rate of a minimum of 91%. Anything with an error rate abo needs to be re-tested and should not be considered an identity veri?cation solution. Pay attention to the level of involvement in guiding the application. Too many increases the risk of biases and mismatches. That’s why our face veri?cation APIs have limited human interaction with no racial demographic segmenting to re bias. Control and access to large credible global databases increase our match rates to 95%. IDMscan is not just about face veri?cation. IDMscan validates documents and when paired with IDMdevice and ID it is a complete identity veri?cation solution for customer onboarding and AML compliance. Providing real-time id veri?cation, device ?ngerprinting, and watchlist screening to identify potential bad actors. Biometric identi?cation is the future of digital identity security. And though using the last thing that is uniquely yo safeguard your personal and business data, seems like taking an unnecessary risk, done correctly it can be the h form of protection you’ll have to date. All it takes is reaching out to an expert at IDMERIT to learn how we can dev secure face veri?cation system for your business. Let Us Prove It! Contact us, today!