Document Verification for KYC With AI-OCR & Computer Vision Tool

In this tutorial, I will take the example Aadhaar card for document verification as Aadhaar is accepted everywhere in the country. Every document has some unique features which make it different from others Aadhaar has these unique features -: 1. Emblem 2. GOVERNMENT OF INDIA [GOI] Symbol 3. QR Code 4. Design of Aadhaar So, it's now our choice on which features we want to train our Machine Learning model. I chose Emblem, GOI Symbol, Aadhaar Card, as earlier versions of Aadhaar had a barcode instead of a QR code, so I decided to omit it out because I wanted my model to be robust and efficient at the same time. These features make the Aadhaar card distinguishable from other documents and help in validating whether the submitted document is an Aadhaar or not. To verify a document first it needs to be processed as it may contain noise and that can affect the validation process, so in this case image will be processed first and noise will be eliminated using Gaussian Noise Filter or any other suitable noise removal filter can be used, it all depends on the quality of input data.