27. The computer-implemented method of claim 25 , wherein computing and determining further comprises: reducing the Levenshtein distance value between a group of words and the text, on detecting the Levenshtein distance value between the group of words and the text is within a first threshold wherein reducing the Levenshtein distance between a group of words and the text is based on a correlation of characters contributing to the Levenshtein distance value with one or more characters commonly misinterpreted by an optical character recognition, OCR, process; and wherein determining further comprises identifying the group of words as an instance of the group of text when the reduced Levenshtein distance value is within a second threshold.
27. The computer-implemented method of claim 25 , wherein computing and determining further comprises: reducing the Levenshtein distance value between a group of words and the text, on detecting the Levenshtein distance value between the group of words and the text is within a first threshold wherein reducing the Levenshtein distance between a group of words and the text is based on a correlation of characters contributing to the Levenshtein distance value with one or more characters commonly misinterpreted by an optical character recognition, OCR, process; and wherein determining further comprises identifying the group of words as an instance of the group of text when the reduced Levenshtein distance value is within a second threshold. 28. The computer-implemented method of claim 27 , wherein the first and second thresholds are based on a number of characters contained within the text.