Abstract: Computer systems and methods are provided for extracting information from an image of a document. A computer system receives image data, the image data including an image of a document. The computer system determines a portion of the received image data that corresponds to a predefined document field. The computer system utilizes a neural network system to assign a label to the determined portion of the received image data. The computer system performs text recognition on the portion of the received image data and stores the recognized text in association with the assigned label.

Abstract: Computer systems and methods are provided for using a machine learning system to analyze authentication information. First authentication information for a first transaction includes at least a first image that corresponds to a first identification document is received. First validation information that corresponds to a first validation fault is received from a validation system. Data storage of a machine learning system stores the first validation information. Second authentication information for a second transaction includes a second image that corresponds to a second image is received. The machine learning system determines a first validation value that corresponds to a probability that the second image includes the first validation fault. The first validation value is used to determine whether fault review criteria are met. In accordance with a determination that the fault review criteria are met, the second image is transmitted to the validation system.

Abstract: Computer systems and methods are provided for using a machine learning system to analyze authentication information. First authentication information for a first transaction includes at least a first image that corresponds to a first identification document is received. First validation information that corresponds to a first validation fault is received from a validation system. Data storage of a machine learning system stores the first validation information. Second authentication information for a second transaction includes a second image that corresponds to a second image is received. The machine learning system determines a first validation value that corresponds to a probability that the second image includes the first validation fault. The first validation value is used to determine whether fault review criteria are met. In accordance with a determination that the fault review criteria are met, the second image is transmitted to the validation system.

Abstract: Computer systems and methods are provided for using a machine learning system to analyze authentication information. First authentication information for a first transaction includes at least a first image that corresponds to a first identification document is received. First validation information that corresponds to a first validation fault is received from a validation system. Data storage of a machine learning system stores the first validation information. Second authentication information for a second transaction includes a second image that corresponds to a second image is received. The machine learning system determines a first validation value that corresponds to a probability that the second image includes the first validation fault. The first validation value is used to determine whether fault review criteria are met. In accordance with a determination that the fault review criteria are met, the second image is transmitted to the validation system.