Enhanced optical character recognition (OCR) image segmentation system and method

An optical character recognition system, comprising:

• a processor;
• and
• a memory comprising instructions operable to be executed by the processor,
• wherein the processor is configured to:
• optimize the image quality of an image,
• perform optical character recognition on the optimized image,
• evaluate text extracted from the image utilizing a deep learning image classifier to classify an image type for the image, wherein the deep leaning image classifier is trained with additional images generated by scaling and translating original images,
• select an optical character recognition model based on the classified image type,
• perform optical character recognition on the optimized image utilizing the selected model to generate recognized text and to extract identification and metadata information associated with the image from the recognized text
• evaluate the extracted identification and metadata information associated with the image from the recognized text to link the image to an online account associated with the image;
• compare a data value extracted from the recognized text for a particular data type with an associated online account data value for the particular data type;
• and
• evaluate whether to automatically execute an action associated with the online account linked to the image based on the comparison, wherein the action comprises at least one selected from the group of adding a return mail flag.

A non-transitory computer-accessible medium storing instructions operable to be executed by a processor, wherein, upon execution of the instructions, the processor is configured to perform procedures comprising:

• optimizing the image quality of an image;
• performing optical character recognition on the optimized image;
• evaluating text extracted from the image utilizing a deep learning image classifier to classify an image type for the image, wherein the deep leaning image classifier is trained with additional images generated by scaling and translating original images;
• selecting an optical character recognition model based on the classified image type;
• performing optical character recognition on the optimized image utilizing the selected model to generate recognized text and to extract identification and metadata information associated with the image from the recognized text
• evaluating the extracted identification and metadata information associated with the image from the recognized text to link the image to an online account associated with the image;
• comparing a data value extracted from the recognized text for a particular data type with an associated online account data value for the particular data type;
• and
• evaluating whether to automatically execute an action associated with the online account linked to the image based on the comparison, wherein the action comprises at least one selected from the group of adding a return mail flag.