Document Verification

As digital communications become more and more prevalent, the process of confirming the authenticity of a document that is being scanned, emailed, or sent online becomes ever more crucial. Document verification services use a series of protocols and processes to determine whether a document is genuine.
 
Aspects such as photo ID, contact details, stamps, watermarks, QR codes, and fonts are checked for their veracity. The process also checks that documents are up to date and that they are still valid and contain the most recently updated, correct information. Increasingly, the process is carried out digitally, using AI, automation, and machine learning to assess and compare uploaded documents and confirm their authenticity.

Identity document verification can be done using a number of techniques and processes. Much will depend on the contents of the source document. For example, if a photo needs to be checked to confirm it is a real ID, the person is asked to take and upload a selfie for the software to compare to the submitted photo. Facial recognition, plus selfie liveness and ID checks combine to compare the two images and decide upon their veracity. A trained professional or a machine will control and extract the data from the document. The machine will utilize OCR, short for optical character recognition, to identify and verify the document. If available NFC, short for Near Field Communication, NFC verification can be utilized to assist in gathering data and document authenticity checks. MRZ, short for machine readable zone, can also assist during verification.

This form of remote course document verification does away with the need to present photograph ID documents in person for authentication. As well as selfie liveness and facial recognition, the document verification software can also detect mismatches using a number of techniques, including cropping and edge detection, Photoshop-type image manipulation, color integrity, front to back data correlation and cross-checks on thousands of global IDs. For written documents, techniques include matching font and content of wording, stamps, holograms, watermarks, signatures and, again, cross-checking against a vast database of online written content for plagiarized copy. For these verifications to be completed by machine learning, the AI must learn how the document should look like, what fonts and colors are normally used, what elements, such as stamps, signatures, etc., should be on the document and what protection should be present. An important part of id documentation verification is matching the data on the document with the data from the MRZ.

There are a few types of document verification, such as in-person examination, photo image of documentation, NFC verification, biometric face verification, and biometric data comparison.

In the past, much of the work was done via physical verification methods, i.e., checking paperwork in person or by using hard copies.
 
However, the shift towards digital checking techniques and remote working practices has led to more and more document verification services moving online. Wherever the need arises for digital ID for document verification, the technology exists to provide an accurate, quick and effective form of document checking and ID authentication. The process confirms identities, checks for under-age applications, prevents fraud and identity theft and speeds up admin and security protocols for people in multiple situations and locations around the world. It also enables remote on-boarding for new customers.

Document verification services provide users with invaluable peace of mind regarding the authenticity of important documents. It speeds up the application process for people seeking to use officially issued documents to prove their identity and eligibility for schemes, documentation and services. The process is rapid and streamlined with a very high accuracy rate.
 
The machine learning AI method means that document verification can evolve and grow alongside authentication technology and techniques. Document verification helps prevent frauds and identify genuine applicants, offering customers an excellent on-boarding experience and a reassuringly safe authentication process.

Document verification services exist to support people seeking to authenticate their official documentation, forms of ID and other key documentation. The documentation verification company takes on all the logistics and background work to ensure that the technology, hardware, software, connectivity and IT support is available to ensure that the process runs as smoothly as possible.
 
Handing over document verification to an expert company offers peace of mind and reliable, specialist management of the entire process from start to finish. Document verification platforms can vary in terms of the services they provide, and it is wise to request a demonstration and confirm that the services are exactly what you need before committing to using any specific document verification tool or supplier.

A large number of documents are highly suitable for document verification technology, including passports, driver’s license, national ID cards, workplace ID or entry passes, permits, legal documents and bank cards. Documents with information such as photos, bar codes, QR codes, account or ID numbers etc. on them can be checked easily and compared against a database of thousands of pieces of information to check for inaccuracies and fraudulent activity.
 
Any documents that can be scanned or photographed and then uploaded to a document verification system can also be checked and authenticated by the technology available. Writing and images must be clear, in focus and in a language that the technology can recognise. The hard copy must be in good ppp
 with no scratches, tears or damage. This allows the online document verification system to read the relevant information and process it accurately.

OCR stands for Optical Character Recognition. It is a sophisticated method of capturing typed or handwritten text from a source document and copying it into a database, spreadsheet or ERP system. ID document OCR uses this clever technique to copy key text and input it into the document verification platform to check for validity. The technique can greatly speed up the document verification process and help prevent inaccuracies from appearing if data is transferred manually.