OCR technology: A Solution for Global Businesses to Automate Identity Verification

Candice Spencer
Shufti Pro
Published in
3 min readOct 20, 2020

If you have heard about a simple document scanner, it won’t be long until you understand the concept of Optical Character Recognition or otherwise known as OCR. You don’t need to be technical to comprehend how it works either. Nowadays, when everything is digital, customer identity verification is also performed digitally by verifying customer’s identity documents, specific to the government. The credentials such as Name, DOB, Address, etc. are verified to check the authenticity of individuals undergoing identification.

Identity verification makes use of multiple technologies such as Artificial intelligence, Machine learning, and Liveness detection, one of which is optical character recognition, in order to fight against frauds in compliance with Anti-money laundering directives.

Using these technologies including OCR automates the identity verification process, replaces the tedious manual verification, thus making the whole identification process reliable, fool-proof, and time-effective.

Understanding Optical Character Recognition

As I said, understanding Optical Character Recognition is no rocket-science. It is a modern technology that can easily extract written information from ID documents either its a scanned document or a jpg file, written text, or printed.

OCR is trained to draw out the intricate details given on the documents in the form of text for verification purposes. After extraction, data is transmuted into a machine-readable form for further data processing and analysis.

OCR Solution for ID Verification Process

OCR-based Identity verification extracts all the identity relevant information of the end-user from the official ID document. All they need to do is show their ID document in front of the camera, or upload a scanned image of their ID, it varies from business to business.

After uploading the document the OCR will capture all the text for verification and give the final results. OCR not only streamlines the entire data extraction process but reduces the time otherwise spent on manually entering and extracting text for verification.

Some Challenges in OCR

All good things do come with challenges, similar is the case with technology. OCR technology expects to have high-quality images because having a high resolution is considered one of the most important reasons for accuracy and success rates of extracted data.

  • The background of the ID card makes it difficult to differentiate text from non-text
  • Uneven lighting or shadows can pose a challenge for accurate OCR
  • Performing OCR from a handheld device can cause blurriness and skewness
  • Text aspect ratios and different fonts sizes and styles can cause high computational complexities
  • Multilingual situations and complex symbolisms

Why Choose Shufti Pro’s OCR Solution?

Shufti pro’s OCR for business solution supports 150+ languages. Businesses can easily detect and extract data from complex scripts in real-time with 90% accuracy. After extraction, businesses can download the extracted data in file formats. Verification through Shufti Pro is performed within seconds which makes the customer experience as smooth as possible.

The customers do not have to spend time manually filling out the information for verification, Shufti Pro’s OCR solutions collect all the information on its own. Either you are from the banking industry or eCommerce Shufti pro can pull out the user information from any type of document through OCR.

For more information, visit the website.

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Candice Spencer
Shufti Pro

Researcher, Fraud Preventer, Traveller, Reader, Writer, Thinker :)