Online verification of documents is an organization that needs to secure itself from cyber crimes by understanding the key benefits, processes, and automation.
Verification of documents is necessary to analyze documents and helps organizations minimize the risk of theft in the finance industry. Scrutinized and controlled industries such as banks and other financial firms have security systems as rules are rigid here.
Online verification of documents, firms can easily eradicate the forgery risk and make sure they have all the necessary rules and regulations. But, it is more about encountering the laws; document verifications also help build trust between consumers and companies.
From 2017 to 2028, universal spending on the ID document authentication market is projected to rise by more than 13 billion US dollars from 4.93 billion US dollars in 2027.
- 1 Process of Online Document Verification
- 2 How to Automate the Online Verification of Documents?
- 3 Key Takeaways
Process of Online Document Verification
Analyzing required documents is a straightforward process that starts with data assembling from clients at the starting point and concludes with data extraction from the appropriate documents. Identity document fraud have been reduced since multiple AI tests authenticated and approved the papers.
The paper is then verified after passing through the process. Let’s have a look at each stage:
- Data capture and document collection
- Data extraction
- Document Validation
- Data Authentication
1. Data Capture and Document Collection
The primary stage starts with submitting the documents. Clients should have to send high-quality pictures or videos of important ID documents. AI and Algorithms search the paper for information that includes the encrypted data, which then identifies it.
The documents are pre-processed and are ready for the next step in the first stage. Delivering quality data extraction in the subsequent stage involves reviewing the data boundaries, se-skewing images, and improving the color and brightness.
- Data Extraction
The second stage extracts all the essential data from the documents. Users can select the necessary information and discard all other useless data with the help of ID document authentication.
Using AI-based software, OCR is preferable to use straightforward programs since it can turn a document into a structured and informative one. This document can be quickly fed into the following data sources per demand. This stage can also categorize the documents according to their templates and ensure flawless customer paper validation.
3. Document Validation
It is vital to determine if the document and the data shown are still helpful in validating the data accumulated from the scans. Users can easily compare the extracted data against any source based on the rescued data to verify its accuracy. For example, the unit in charge of giving loans wants to know if the applicant has a loan at a similar bank. Hence, document validation is required to reduce identity and fraud theft.
A few verification tests can be used for documents verification:
- Faces and orientation identification
- Detects cropping and edges
- Back-to-front relation
- Cross-checking multiple international IDs
- Investigation of color spaces
- Headshot credibility
- Match ID image to selfie
4. Data Authentication
The system puts data with errors in an approval process as a final step. Documents will be authentic after being thoroughly investigated.
How to Automate the Online Verification of Documents?
1. Confirm that the safety measures are installed correctly
ID document verification has unique safety features such as watermarks, holograms, microprints, and logos. A remarkable primary step in deciding whether the document is original is ensuring that certain safety elements are in the right place. To inspect the document’s safety components, all that is needed is a clear image. A horizontally aligned and crisp picture of the document must be the result. Hence, comparison is essential to check for consistency in data.
Each image ID encodes the applicant’s personal data in some pattern, such as a Machine Readable Zone (MRZ) or barcodes. Any difference between this data and the information written on the remaining document pages, known as the VIZ or Visual Inspection Zone, is evidence that the data has been tampered with.
Compare Document’s Portrait to the Individual’s Face
The company can confirm the document’s credibility by comparing user-submitted selfies with ID images. Then, the user is the actual owner of the document if the characteristics of these two photos match. Designing processes and technologies to help develop electronic records is called document process automation.
Moreover, this data has logic-based schedules that combine new documents from pieces of text or existing data. In many organizations using this technique, putting together contracts, legal documents, and letters becomes more common. Automation solutions help businesses minimize the amount of data entered, the threats posed by human mistakes and the amount of time spent proofreading.
Online verification of documents plays a vital role in companies. Organizations can protect their data or important documents by using document validation procedures. Hence, transforming AI will secure and speed up customer onboarding while reducing fraudulent assaults.