EXTRACTING CARD DATA WITH WEAR PATTERNS

摘要

Embodiments herein provide computer-implemented techniques for allowing a user computing device to extract financial card information using optical character recognition (“OCR”). Extracting financial card information may be improved by applying various classifiers and other transformations to the image data. For example, applying a linear classifier to the image to determine digit locations before applying the OCR algorithm allows the user computing device to use less processing capacity to extract accurate card data. The OCR application may train a classifier to use the wear patterns of a card to improve OCR algorithm performance. The OCR application may apply a linear classifier and then a nonlinear classifier to improve the performance and the accuracy of the OCR algorithm. The OCR application uses the known digit patterns used by typical credit and debit cards to improve the accuracy of the OCR algorithm.

主权项

1. A computer-implemented method for training systems to recognize wear patterns on cards, comprising:
receiving, by one or more computing devices, an image of a card from a camera, the card having digits thereon that are worn according to a wear pattern; performing, by the one or more computing devices, a classification algorithm the image; providing for display, by the one or more computing devices, results of the performance of the classification algorithm along with a revision indication control to provide revisions of the results of the performance of the classification algorithm; receiving, by the one or more computing devices, a revision of the results of the performance of the classification algorithm, wherein the revision comprises an identification of a wear pattern of the digits and the revision of the results was input using the revision indication control; categorizing, by the one or more computing devices, the wear pattern of the digits indicated by the revision; and creating, by the one or more computing devices, a wear pattern data transformation for a category of the wear pattern based at least in part on the revised results.