System and method for optical character recognition

A system for optical character recognition, the system comprising:

• at least one processor;
• and
• a computer-readable medium storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
• detecting a presence of a character in an image data;
• providing the image data to a plurality of customized machine learning algorithms for character recognition, wherein each of the plurality of customized machine learning algorithms is configured to recognize a pre-defined character;
• in response to a negative character recognition, presenting one or more suggestions for the character to the user;
• in response to the one or more suggestions being rejected by the user,
• prompting the user to identify the character;
• determining a presence of the character in a set of pre-defined characters;
• in response to a positive presence, training a customized machine learning algorithm corresponding to the character;
• and
• in response to a negative presence, adding the character in the set of pre-defined characters and dynamically creating a customized machine learning algorithm corresponding to the character;
• and
• in response to one of the one or more suggestions being identified by the user, training a customized machine learning algorithm corresponding to the character.

A non-transitory computer-readable medium storing computer-executable instructions for:

• detecting a presence of a character in an image data;
• providing the image data to a plurality of customized machine learning algorithms for character recognition, wherein each of the plurality of customized machine learning algorithms is configured to recognize a pre-defined character;
• in response to a negative character recognition, presenting one or more suggestions for the character to the user;
• in response to the one or more suggestions being rejected by the user,
• prompting the user to identify the character;
• determining a presence of the character in a set of pre-defined characters;
• in response to a positive presence, training a customized machine learning algorithm corresponding to the character;
• and
• in response to a negative presence, adding the character in the set of pre-defined characters and dynamically creating a customized machine learning algorithm corresponding to the character;
• and
• in response to one of the one or more suggestions being identified by the user, training a customized machine learning algorithm corresponding to the character.