{"id":34388,"date":"2023-05-18T18:23:43","date_gmt":"2023-05-18T18:23:43","guid":{"rendered":"https:\/\/www.trulioo.com\/blog\/"},"modified":"2023-07-26T23:33:12","modified_gmt":"2023-07-26T23:33:12","slug":"document-verification-guide","status":"publish","type":"post","link":"https:\/\/www.trulioo.com\/blog\/document-verification\/document-verification-guide","title":{"rendered":"Identity Document Verification Can Fortify Fraud Defenses"},"content":{"rendered":"\n

Digital document verification presents a formidable defense against fraud and gives businesses a sense of certainty in meeting regulatory requirements. <\/p>\n\n\n\n

It can be difficult, though, for businesses to navigate the verification market and leverage the technology in ways that best meet their needs. The \u201cIntroduction to Identity Document Verification\u201d<\/a> buyer\u2019s guide can help by taking a deep dive into the state-of-the-art technology and providing best practices for evaluating potential partners.<\/p>\n\n\n\n

The Document Verification Process<\/strong><\/h2>\n\n\n\n

Document verification builds onboarding certainty through the credibility of government-issued documents, the reassurance of facial biometrics and the accuracy of automated artificial intelligence.<\/p>\n\n\n\n

Verification typically starts with a person taking a picture of a driver\u2019s license, passport, national ID card or other identity document. The person then submits a live selfie for comparison with the image on the document.<\/p>\n\n\n\n

Image-capture quality often determines verification accuracy. Photo environments may have poor lighting, or the user might have an old mobile device or make a mistake.<\/p>\n\n\n\n

Document verification requires active participation from the customer, and that can create friction. That places user experience during image capture high on the list of priorities when evaluating potential partners.<\/p>\n\n\n\n

After image capture, back-end processes compare the document image to corresponding government templates and check for evidence of tampering. Face detection algorithms help ensure the selfie image matches the document portrait.<\/p>\n\n\n\n

The analysis also includes <\/strong>checks for document security features \u2013 such as microprints, watermarks or holograms \u2013 and data extraction for comparison with independent sources.<\/p>\n\n\n\n

Key Considerations for Buyers<\/strong><\/h2>\n\n\n\n

There are thousands of identity document types and formats around the world, so it\u2019s vital to make sure a potential partner provides coverage in areas where the business operates.<\/p>\n\n\n\n

It\u2019s also important to assess image-capture precision, selfie comparison technology and the quality of the process instructions for customers. If those elements are incorporated into automated document verification, businesses can accelerate onboarding by sidestepping the delays associated with manual processes.<\/p>\n\n\n\n

Collaborative partners offer insights into the performance and probabilistic decision-making of their artificial intelligence and machine learning models. That transparency helps businesses learn more about accuracy, reliability and adherence to regulations, privacy laws and ethical standards..<\/p>\n\n\n\n

Other evaluation questions include:<\/p>\n\n\n\n