Extracting card data with linear and nonlinear transformations

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 extracting card information, comprising:
receiving, by one or more computing devices, an image of a card from a camera; identifying, by the one or more computing devices, a first area of the image, the first area being selected as a potential location of one or more digits on the card in the image; performing, by the one or more computing devices, a linear transformation algorithm on data encompassed by the first area to achieve a reduced dimensionality; performing, by the one or more computing devices, a nonlinear transformation algorithm on a result of the linear transformation algorithm; determining, by the one or more computing devices, if the first area encompasses a digit based at least in part on a confidence level of a result of the performing of the nonlinear transformation algorithm to the result of the linear transformation algorithm; performing, by the one or more computing devices, a classification of the result of the performing of the nonlinear transformation algorithm; and performing, by the one or more computing devices, an optical character recognition algorithm on the first area upon a determination that the area encompasses a digit.