Multi-model system for electronic transaction authorization and fraud detection

A method, comprising:

• receiving, by a data processing system comprising one or more processors, coupled with memory, a request to authorize an electronic transaction based on an electronic image;
• training, by the data processing system, one or more neural networks according to a cyclic optimization technique;
• classifying, by the data processing system, using the one or more trained neural networks, responsive to the request, the electronic image as a first type of document;
• identifying, by the data processing system, using the one or more trained neural networks, responsive to the classification of the electronic image as the first type of document, a portion of the electronic image that contains an identifier;
• extracting, by the data processing system, using a character recognition technique, responsive to the identification of the portion, the identifier from the portion of the electronic image;
• determining, by the data processing system, using an application programming interface configured to communicate with a server of an institution, a validation status of an account maintained by the institution that corresponds to the identifier extracted from the portion of the electronic image, the validation status indicating that the identifier is associated with the account at the institution;
• and
• performing, by the data processing system, an action to authorize the electronic transaction based on the validation status.

A non-transitory computer-readable medium storing processor-executable instructions that, when executed by one or more processors, cause the one or more processors to:

• receive a request to authorize an electronic transaction based on an electronic image;
• train one or more neural networks according to a cyclic optimization technique;
• classify, using the one or more trained neural networks, responsive to the request, the electronic image as a first type of document;
• identify, using the one or more trained neural networks, responsive to the classification of the electronic image as the first type of document, a portion of the electronic image that contains an identifier;
• extract, using a character recognition technique, responsive to the identification of the portion, the identifier from the portion of the electronic image;
• determine, using an application programming interface configured to communicate with a server of an institution, a validation status of an account maintained by the institution that corresponds to the identifier extracted from the portion of the electronic image, the validation status indicating that the identifier is associated with the account at the institution;
• and
• perform an action to authorize the electronic transaction based on the validation status.