Meta Description: Biometric consent verification is a state-of-the-art tech to identify customers in an easy-going and efficient manner by impeding fraudulent activities.
A biometric consent verification solution is a cutting-edge method of preventing online frauds like identity theft, account takeovers, etc. With the rising amount of identity fraud, security breaches, account hacking scams, misappropriation of funds, and embezzlement, identity verification protocols and procedure must be revised.
The explanation for this is that with the advancement in technology, bad actors are also becoming more up to date and active, and they are employing the same cutting-edge techniques against digital security systems, spotting the weaknesses and taking advantage of them at the right time by doing destructive acts.
Organizations may use biometric screening to keep one foot ahead of the bad actors. It includes a comprehensive and robust identity verification process that includes both permissions and biometric recognition. As a result, an identity may be validated with great accuracy using several verification methodologies.
What Is Biometric Consent Verification?
Biometric consent verification refers to two techniques of identity verification that are used by various sectors for online KYC procedures. Facial verification is included in biometric security. Facial characteristics, as well as the consent document, are collected in real-time.
The data is retrieved and placed in the computer using foundational Artificial Intelligence (AI) and Machine Learning (ML) techniques. It is checked and saved in a system. Consent verification might be a kind of handwritten letter or note that the client must be holding and the customer’s face will be recorded as well as real-time consent in the type of a photo or a video.
A blend of verification aids in determining a person’s legitimacy. Companies and websites benefit from tailored documents and facial recognition for digital security. Conventional passwords are no longer safe, and many internet users fail to satisfy the minimum necessary secure passcode techniques. As a result, biometric consent verification has addressed everything.
Using Optical Character Recognition Technology for Consent Verification
The other word used for Optical Character Recognition (OCR) is text recognition, the OCR software retrieves textual information from images, scanned documents, and picture-only PDFs. Scanning the paper and retrieving textual data from the paper or images is how consent verification is done. OCR technique is employed to retrieve data in real-time. How text is printed is identified using OCR. The internet site would propose a message or consent for a digital user to put on a paper and reveal it throughout the consent verification procedure along their face in a picture or selfie.
The message will be recognized by an API associated with the software using OCR technology. The data is retrieved and cross-checked against online information. If the data provided by the user matches with a biometric identity present in the online database then the identity is successfully verified. According to Shufti Pro funding, if the global identity and consent market continues to grow the way it is going right now, it is predicted to extend to as much as $9.07 billion by 2023.
Facial Recognition Software to Prohibit Fraud
Facial recognition is a technique that helps identify a person’s identity through their face. This software can be used to identify people live or through digital images or videos. According to Shufti Pro news, the biometric identification market is predicted to expand to as much as $100 billion. Facial authentication is a categorization of biometric security systems. For digital face verification, facial recognition software is employed, which uses real-time analytics to analyze a person’s facial characteristics and features. These characteristics are recorded and integrated into the database using a complex formula.
When the person attempts to confirm the characteristics, they are recorded and compared to the data already saved in the database. Identity is confirmed if data given by the user is a match to the one present in the database. Spoofing face components are also recognized throughout this procedure to ensure that the image is neither edited nor forged.
Conclusion
Security breach to customers’ account is the major source of a large number of internet attacks. Another explanation might be criminals’ schemes to obtain the identity information of a customer by inserting credentials or launching a malicious application code, all of which can be avoided by employing automated biometric user authentication solutions.
Complex precautions should be implemented to avoid these scams. Consent biometric identification should be done in real-time each time an internet user attempts to log in to their account to validate the customer so that they can use the company’s services with ease and security. Several internet scams, identity frauds, and financial frauds can be avoided by following the KYC regulations and biometric consent verification solutions.
