Driving license verification is important for identity verification and fraud prevention during digital KYC.
The driving license verification process authenticates a user by verifying their identity details against a centralized database of driving license records.
Examples of centralized databases include Parivahan in India and DMV in the US. Driving license verification services are also provided by third-party APIs for online verification.
Optical Character Recognition (OCR) for driving licenses works by utilizing computer algorithms to identify and extract text information from images or scans of driving licenses. Here’s a general overview of how it works:
The extracted information usually includes the license holder’s name, license number, date of birth, and other relevant details.
The Driving License Verification API enables you to capture a snapshot of an official driving license. It then employs advanced AI and OCR to extract and validate the data on the ID.
Robust APIs deploy AI that has been well-trained and is adept at detecting any fake or tampered IDs. It quickly verifies vital ID elements such as the license number, stamps, and other essential details using real-time central database checks.
Here’s the step-by-step process:
1. Integration: You need to integrate the Driving License Verification API into your system or application using unique API keys.
2. Data Input and Request: The API requires certain input data such as the driver’s license number and date of birth. Once this information is provided, the system can then send a verification request to the Driving License Verification API.
3. Validation: The API queries authorized databases for driver’s license information.
5. Verification Result: Based on the information obtained from the query, the API generates a verification result. This result indicates whether the driver’s license is valid, expired, suspended, revoked, or if any other issues are detected.
6. Response: The API sends back the verification result to the requesting system. This response can be in various formats such as JSON, XML, or plain text, depending on the API specifications.
7. Action: Depending on the result received, the requesting system or application can take appropriate actions. For example, if the license is invalid or expired, further steps may be necessary, such as denying access or a manual review.
Onboarding journeys have traditionally been lengthy and cumbersome, with a multitude of input fields that often lead to high user drop-off rates.
Moreover, complex workflows, multiple verification attempts, and manual verification processes only serve to increase the turnaround time (TAT) even further.
These factors can cause significant delays in the onboarding process, leading to frustration for both the users and the organization.
Here’s how HyperVerge’s DL verification API makes the process easy:
Central Database Checks: The authenticity of information can be verified using central databases that are recognized by the government.
Simple Onboarding Journeys: Users are required to provide minimal and easy inputs during the onboarding process to reduce any friction.
Smart Auto-filling: All the user’s data can be fetched from the local database and auto-populated for them.
Reduced Manual Hours: The entire verification process can be automated with multiple fallback options which can reduce the Turnaround Time (TAT).
Identity verification and KYC are multi-faceted processes. Driver’s license verification is an essential part of identity verification but it should not be the only method used. There are various reasons for this — a driver’s license can be lost, stolen, or forged. It is always advised to opt for a comprehensive identity verification solution that includes passport and national ID checks, and biometric verification for a more robust and multi-layered approach. The possibility of fraud occurring is much lesser with a multi-layered approach and it also improves customer trust in the longer run.
When it comes to identity verification, HyperVerge’s end-to-end solution is a reliable and robust choice. This comprehensive system offers high-level security and minimizes fraud. Key features of the system include document verification, which cross-references official identity documents like digital driver’s licenses, Aadhaar cards, and passports. Additionally, phone verification and comprehensive database checks contribute to heightened fraud prevention. These elements work together to provide a secure and reliable verification process.
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