Threshold Confidence Levels for Extracted Card Data

摘要

Comparing extracted card data from a continuous scan comprises receiving, by one or more computing devices, a digital scan of a card; obtaining a plurality of images of the card from the digital scan of the physical card; performing an optical character recognition algorithm on each of the plurality of images; comparing results of the application of the optical character recognition algorithm for each of the plurality of images; determining if a configured threshold of the results for each of the plurality of images match each other; and verifying the results when the results for each of the plurality of images match each other. Threshold confidence level for the extracted card data can be employed to determine the accuracy of the extraction. Data is further extracted from blended images and three-dimensional models of the card. Embossed text and holograms in the images may be used to prevent fraud.

主权项

1. A computer-implemented method to compare extraction results with thresholds, comprising:
receiving, by one or more computing devices, a digital scan of a card; obtaining, by one or more computing devices, a plurality of images of the card from the digital scan of the physical card; performing, by the one or more computing devices, an optical character recognition algorithm on a first one of images; determining, by the one or more computing devices, a confidence level of a first result of the application of the optical character recognition algorithm to the first one of the images; comparing, by the one or more computing devices, the confidence level of the first result to a threshold; verifying, by the one or more computing devices, the first result when the confidence level of the first result is greater than or equal to the threshold; performing, by the one or more computing devices, the optical character recognition algorithm on a second one of the images; determining, by the one or more computing devices, a confidence level of a second result of the application of the optical character recognition algorithm to the second one of the images; comparing, by the one or more computing devices, the confidence level of the second result to the threshold; and verifying, by the one or more computing devices, the second result when the confidence level of the second result is greater than or equal to the threshold.