Biometric Recognition – Advancements in Identity Verification Process
The world’s businesses are greatly progressing towards digitization while benign innovations to their legitimate operations. Criminals have intentions otherwise and simultaneously they are using advanced technologies to dodge these corporations. For instance, they use digital softwares to fake their identities and make illegitimate changes in the documents. Here, manual verifiers are not capable enough to detect these attempts.
Therefore, industries need improved identity verification methods like biometric screening to guard their operations. Biometric recognition provides accuracy by scanning the behavioral and biological features of customers. These traits are hard to replicate which makes AI-powered biometric recognition a reliable solution. This blog covers the various types of biometric checks that AI-backed identity verification solutions provide.
Biometric Security System – Types of Improved Checks
Biometric ID scanning involves the use of AI-enabled solutions that use mathematical algorithms to extract biological and behavioral features. Below are some of the most common types of biometric-based identity verification.
Facial Recognition – Maps the Face Features
Facial recognition is massively making its way to the AI industry. Among other industries, the travel sector is also readily adopting this technology. In this type of biometric recognition, the system asks for a real-time selfie or video. The system then analyzes the facial traits. It maps and cross-match them with the ones on documents and in databases.
Therefore, industries can accurately verify customers before registering them on the platform. Facial recognition technology also detects imposters who are using a face mask.
Retina and Iris Scans – Scans the Vein Patterns
Similar to facial recognition, AI-backed biometric screening also offers iris and retina scans. Industries like security, travel, surveillance, and many others are using retia and iris scans to add an additional layer to the identity verification process. Similarly, the U.S. military incorporated this technology 15 years ago to identify offenders, criminals, and terrorists accurately.
Where criminals can fake identities and documents, there are fewer chances of changing their retina or vein patterns within. The AI-backed biometric verification scans the customers’ retina and vein patterns to ensure they are not imposters. Therefore, Shufti Pro Funding indicates that encrypted AI solutions are more accurate, reliable, and authentic in uncovering the real identities of customers.
Voice Recognition – Analyzes the Waveforms
Along with the rest of the physical features, voice recognition also falls under biometric verification. Voice patterns are hard to fake. If criminals are using softwares like deep fakes, they still can not completely copy the voice.
The majority of the industries use voice recognition technology to verify customers. For instance, financial institutions and mobile companies use voice detection to verify customers on call. This way, voice-based biometric screening helps reduce the success rate of fraudsters.
Signature Analysis – Identifies the Handwriting
Signatures are the easiest to replicate. Criminals can easily copy a signature and make the documents look legitimate. However, the digital signatures and their authentication through accurate biometric security systems have made it tough for the cremains to bypass the verification. Moreover, signatures act as an additional layer to customers’ verification.
The encrypted AI-enabled solutions analyze the signatures accurately and detect fraudulent attempts. Moreover, the system also runs scans on the color of ink, handwriting, and other traits. Later the signature is cross-matched within the database which provides further authenticity. Hence, signature-based verification is an encrypted forensic tool that offers immediate verification.
Fingerprint Verification – Cross-matches the Handprints
The fingerprint is the oldest type of biometric ID verification. Financial institutions, the military sector, and law enforcement agencies have been using fingerprint scanning for ages. Moreover, this type of verification is reliable, convenient, and involves less effort. Customers provide their fingerprints during every process like applying for an ID card, opening an account, and others. These are kept in databases that are accessible by AI-powered biometric verification services.
This type of verification is preferred because it is hard to replicate. If somehow criminals manage to make fake fingerprints, the digital verification processes can easily scan the little details. This way the system authentically verifies the customers in less time. Fingerprints are most commonly used by the travel industry in their biometric passports. It helps the passengers skip the long queues.
DNA Analyses – Examines the Genetic Material
Biometric-based digital onboarding is bringing various innovations in the verification process. The major one includes DNA-based identity verification. Here the customers’ DNA is cross-verified within the databases to accurately identify their identities. Where if criminals manage to replicate any of the above-mentioned traits, DNA is impossible to fake. Therefore, industries can easily and accurately verify customers before allowing them to land on the platform.
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In the End
Biometric security systems are gaining massive popularity because of digital transformations. According to Shufti Pro News, criminals are using advanced methods like spoofing attacks, deep fake software, and fake identity traits. Therefore, the digital AI-enabled biometric screening provides enough accuracy. Biometric recognition solutions help industries to access global databases and verify customers without hassle.