Certainly a cool idea but it didn't work fine on an XKCD comic:
http://www.xkcd.com/ bottom line here is recognized as: "T1EN°5'lI'ONAl.1?E£ONNH\56PNCE(YHCEPlP6fiN(N)SURLH’PR3AO-i‘lDlsIr'£7E‘5IJ%z"
http://www.xkcd.com/ bottom line here is recognized as: "T1EN°5'lI'ONAl.1?E£ONNH\56PNCE(YHCEPlP6fiN(N)SURLH’PR3AO-i‘lDlsIr'£7E‘5IJ%z"
This made me realize I never saw such a thing as OWR, i.e. a software that would first try to recognized whole words, then go down to character level if no satisfying match found.
Found out this exists already: https://en.wikipedia.org/wiki/Intelligent_word_recognition
In my experience, the ability to handle overlapping letters (which is very common on type-written text and professionally typeset material) is one of the key things that separate the relatively lightweight OCRs (like Ocrad and GOCR) from the big complicated ones (Tesseract, Cuneiform, Abbyy etc). Whitespace character segmentation cannot be taken for granted if you want to do any useful OCR of "historical" material.