Better data extraction results from a better OCR engine.
IPass uses OCR to extract important data from an ID document, such as a driver’s license or passport.
OCR was originally intended for reading black text against a white background often using a flatbed scanner — not for extracting key data fields from ID documents using small fonts and different colored backgrounds that may include holograms, watermarks and microprint. Powered by informed AI, IPass’s OCR engine overcomes the limitations of traditional OCR and is capable of highly accurate data extraction — data that can be used to ping third-party databases or to verify a person’s age.
OCR often needs a little help from AI to properly extract key data fields such as name, address, document number and date of birth. When people take pictures of their ID documents using their smartphones or webcams, these images need to be de-skewed if the image was not aligned properly and reoriented so that the OCR technology can properly extract the data. IPass also exploits informed AI to recognize the patterns that characterize a specific ID type, which can be challenging given the large number ID subtypes (e.g. some printed in landscape, some in portrait mode).
To accurately extract crucial data fields such as name, address, document number, and date of birth, OCR frequently requires AI assistance. When users take pictures of their ID documents with their smartphones or webcams, the images must be de-skewed and reoriented so that OCR technology can extract the data correctly. IPass also uses AI to recognize the patterns that define a certain ID type, which can be difficult given the enormous number of ID subtypes (e.g. some printed in landscape, some in portrait mode).
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