Optical Character Recognition accelerates Know Your Customer programs by extracting structured data from ID documents automatically.
The acronym OCR stands for Optical Character Recognition. Before knowing what OCR is, it is helpful to break down its parts:
People use their eyes and brain connections to recognize images and read documents. Computers use scanner cameras to recognize documents and images, considering them a simple set of pixels.
Characters are units of information that correspond to symbols or graphemes. They are the compositions of pixels, curves, and lines that form the written digits and letters of the alphabet.
Character recognition takes place after the optical scanner digitizes the image.
To improve the process of KYC, the manual job of feeding data into any system needs to be automated. Optical Character Recognition (OCR) technology converts all the information on an ID into text that can be used for input and validation. An ID document is first scanned, analyzed, and finally translated into character codes.
This machine-encoded text can then be used to validate the information against a genuine verification source. This helps verify national IDs containing numbers, addresses, names, and various other parameters almost instantly.
Time Efficient: Through automated data capturing and document classification, OCR eliminates the need for manually entering details on every form or HR portal.
Cost Efficient: OCR reduces the need for manual labor in data entry, document sorting, and filing, saving labor costs as well as the raw material needed for physical verification.
Higher Accuracy and Improved Service: By reducing human intervention, OCR reduces the chance of manual errors. This ensures that employees have access to accurate and reliable information whenever needed.
Storage Space and Data Security: The data input via OCR can be stored on servers, reducing the cost of maintaining physical files and enabling enhanced data security with tightly controlled access.
BrainWise Egypt ID recognition system is an OCR product we developed internally by taking advantage of cutting-edge OCR technology, supporting structured recognition of all fields on Egyptian ID cards.
Capabilities include extracting names in Arabic and English, personal information like age and job, geographic information, and validation details such as factory numbers, release dates, and expiry dates.
Interested to know more? Contact us at support@brainwise.me.
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