Extracting card data with card models

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:
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 image; performing, by the one or more computing devices, a classification algorithm on data encompassed by the first area; comparing, by the one or more computing devices, the image to one or more card models associated with a user, the one or more models comprising digit distribution patterns of data displayed on the image; and performing, by the one or more computing devices, an optical character recognition algorithm on areas of the card that are anticipated by the one or more computing devices as comprising digits based on the application of the card models and the identified lines.