Method and System for Automatically Detecting Errors in at Least One Date Entry Using Image Maps

A method of automatically detecting errors in at least one data entry in a database, the at least one data entry comprising an input string of characters that do not match at least one predefined string of characters, the method comprising:

• generating, with at least one processor and based at least partially on the input string of characters of the at least one data entry, a first image map;
• generating, with at least one processor, a first classification parameter by comparing the first image map to a second image map, the second image map based at least partially on the predefined string of characters;
• determining, with at least one processor and based at least partially on the first classification parameter, that the input string of characters does not correlate to the predefined string of characters;
• in response to determining that the input string of characters does not correlate to the predefined string of characters, generating a second classification parameter by comparing the first image map to a third image map, the third image map based at least partially on a stored string of characters representative of a prior non-correlated data entry;
• and
• storing, with at least one processor and based at least partially on the second classification parameter, the at least one data entry in a database in association with the prior non-correlated data entry, such that the input string of characters and/or the stored string of characters form a new predefined string of characters for comparison to subsequent data entries.

A system for automatically detecting errors in at least one data entry in a database, the at least one data entry comprising an input string of characters that do not match at least one predefined string of characters, the system comprising at least one processor configured to:

• generate, based at least partially on the input string of characters, a first image map;
• generate at least one classification parameter by comparing the first image map to a second image map, the second image map based at least partially on the predefined string of characters;
• determine, based at least partially on the classification parameter, whether the input string of characters correlates to the predefined string of characters;
• and
• modify the at least one data entry to match the predefined string of characters in response to determining that the input string of characters correlates to the predefined string of characters.