even with a superimposed frame, you might fail to capture both the ocr and the qr code you want. (i'm guessing you want the text that surrounds a qr code and the
qr code at the same time). but, yes, you can pass the "cropped" part of the image to the ocr processor and the full image to the barcode processor. (it's what i use
for some cases.) the barcode processor will only look for a barcode (in this case a qr code), so, in theory, you shouldn't have to worry about extraneous text.
the barcode processor will ignore it. although, you should be aware that barcode scanning works better and faster if the barcode is in the center of the image and
the image isn't cluttered. you run the risk of a failed scan (as i mentioned previously, barcode processor does not guess. the rules are very strict. ocr, on the other
hand can be fooled into recognizing as text any series of dots that might be construed as text in some universe. whereas a barcode scanner is either legible or not,
ocr will give you text where there is none. some processors use a dictionary to expedite processing, and this can fall into that trap: sometimes guessing works,
sometimes it doesn't.
both barcode and ocr give you bounding boxes in addition to whatever they are supposed to extract. it's a tool to work with if you're trying to concentrate on some
text or barcode located in a partricular part of the image. ocr was designed to handle book scanning. desktop publishing is a problem for it; stuff is all over the page.
without a bounding box, you wouldn't know which block of text goes where.
check out images below. image with a lot of barcodes. i put up a little pre-cropping frame, capture the barcode of interest and then get the ocr (note, it correctly
extracts the text above the barcode, but it thinks the barcode itself is also text...)