The chances of human error can be reduced by automating repetitive tasks and allowing humans to review document information on the final stages of the information extraction pipeline.
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This shift towards fast digital processes instead of manual entry and review is enabled by deep learning based approaches (discussed later). It takes a couple of seconds to simply scan an ID card and retrieve all the data from it. Greater speed and efficiency - Digitizing ID cards can save a lot of time and money for businesses and organizations.This helps to maintain data in an organized fashion and facilitates any sort of verification or registration process.
All the information pulled from the captured ID card will be in a simple text/numerical format.
The customer is expected to submit a digital copy of the documents which a manual reviewer will review, identify if it is fake, extract information like name, address, etc. This process is usually time consuming and prone to errors since it is done manually at a lot of places. A few examples include banks and insurance companies. Many organizations during their onboarding procedures, to have adequate amount of information about their customers, requires customers to submit some documents that they could use to verify their identity and get relevant details about them.
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