Deep-learning-based system and process for image recognition

A system comprising:

• a server comprising a processor and a non-transitory computer-readable medium containing instructions that when executed by the processor causes the processor to perform operations comprising:
• executing an image recognition protocol purported to identify a letter within a word;
• in the event the image recognition protocol fails to identify the letter within the word, executing a neural network comprising a nodal data structure to identify the letter within the word based upon a preceding letter within the word depicted within an image,
• the nodal data structure comprising a set of nodes where each node represents a letter, each node within the set of nodes connected to at least one other node within the set of nodes, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used subsequent to a preceding letter corresponding to the first node, wherein the processor queries an n-gram database to retrieve the probability of the letter being used after the preceding letter;
• transmitting an identification of the letter to a second processor.

A method comprising:

• executing, by a processor, an image recognition protocol purported to identify a letter within a word;
• in the event the image recognition protocol fails to identify the letter within the word, executing, by the processor, a neural network comprising a nodal data structure that identifies the letter within the word based upon a preceding letter within the word depicted within a check image, wherein the word is depicted within an image segment of the check image associated with a data field,
• the nodal data structure comprising a set of nodes where each node represents a letter, each node within the set of nodes connected to at least one other node within the set of nodes, wherein connection of a first node to a second node corresponds to a probability that a letter corresponding to the second node is used subsequent to a preceding letter corresponding to the first node, wherein the processor queries an n-gram database to retrieve the probability of the letter being used after the preceding letter;
• transmitting, by the processor, an identification of the letter to a second processor.