Organizations in the public and private sectors utilize digital document verification solutions to ensure that a document is legitimate and issued by its purported authority. By going through this procedure, businesses remain certain that the paper they are using is authentic and has not been forged.
Furthermore, another essential part of the onboarding process is verifying the customer’s documents. Using the digital document identification method, businesses may safely and swiftly confirm the legitimacy of identification documents provided by prospective clients. Additionally, enhancing verification procedures with document verification and other security approaches helps businesses onboard only authentic clients.
It may seem like a simple effort to onboard new clients, but in reality, there are several obstacles that organizations must overcome. A speedy and safe onboarding process is essential to the company’s success. Still, they must also take steps to reduce the risk of fraud, increase client loyalty, and meet regulatory standards. Document verification is a significant option to help perform this tremendous task. Let’s find out how.
What Is Document Verification?
Humans tend to overcomplicate things at times. Moving away from physical forms of identification like photo IDs and passports is now possible due to the shift to digital and online identities. Verification has recently come to the forefront of providers’ attention as they seek to merge the strengths of traditional document verification with those of digital platforms.
The process is known as digital document verification when official identification documents are scanned and uploaded into digital verification systems. Furthermore, the document verification process involves several possible validation methodologies that read the ID and compare it to data in a database to establish its validity. Some certain forms of the identification are as follows:
Face Detection
Identifying a person only by their face is a huge step forward in the fight against identity theft. The ID’s picture is compared to a database of internal images in these identity verification systems.
Correlation of Provided Data
Oftentimes, the front and back of government-issued identification cards include identical information. To ensure the ID is genuine and properly refers to a specific individual, an identification solution has to cross-reference that information.
Digital Document Verification (Scanning) to Prevent Fraud
The ability to scan documents for identifying information (such as ID numbers, barcodes, etc.) and match that data with existing databases is essential for document identification. These scanners easily detect watermarks and other kinds of pattern recognition, allowing them to see fake documents.
Liveness Check
Liveness and identity checks using users’ photos on mobile devices are standard features of such cutting-edge biometrics and verification systems. This enables liveness testing to confirm the authenticity, avoid spoofing, and instant picture comparisons against IDs to link biometrics and identity document verification.
Role of Document Verification Solution in Meeting Compliance
Even in highly regulated fields, digital document verification is often optional to prove compliance. But they typically use physical authentication at the counter. However, the increasing prevalence of the digital world has increased the need for digital client onboarding and verification processes to be completed online.
It’s no secret that the banking and finance business is a regulatory minefield for providing online customer support. Key laws were implemented or tightened in the wake of 9/11 (including the creation of the Department of Homeland Security and the passage of the U.S. Patriot Act) to combat money laundering for terrorist purposes.
During this time, important laws like “Know Your Customer” and “Anti-Money Laundering” were passed.
KYC: To follow the Know Your Customer rules, customers must go through strict verification processes, such as having their documents and identities checked, going through a background check, and other screening methods.
AML: In many contexts, anti-money-laundering laws are also necessary with know-your-customer (KYC) procedures to meet the challenges of identity theft and financial fraud.
Artificial Intelligence & Document Authentication
The advent of Machine Learning (ML) and Artificial Intelligence (AI) has changed the dynamic, making online verification more reliable and accurate. Advanced document verification process and optical character recognition may help detect fake credentials. To train an intelligent verification system to detect even the most sophisticated forgeries without degrading performance, data scientists may give examples of documents from across the globe that are known to be faked.
Thanks to machine learning, user authentication can now be completed in a wide range of scenarios with zero friction. With AI-driven verification systems, users can authenticate their identities quickly and easily from any location by scanning their documents or taking a picture and uploading it. As a result, these users can get up and running quickly.
Conclusion
Maintaining the constant evolution of fraud techniques is a major obstacle for today’s authentication and identity management systems. Numerous systems must prepare to deal with the growing threats of identity theft, credential phishing, and spoofing. Digital document verification, in combination with biometrics, plays a significant role in meeting these challenges.
