hocr

问题 In the Tesseract FAQ they say you can: How can I get the coordinates and confidence of each character ? There are two options. If you would rather not get into programming, you can use Tesseract's hocr output format (read the Tesseract manual page for details). But when I created a sample hOCR output (it's an .html file), the bounding boxes and confidence levels were only available at the word level . Am I missing something here? I've added the sample input/output as illustration (the input

问题 I'm trying to use Python to extract data from Tesseract's hocr output file. We're limited to tesseact version 3.04, so no image_to_data function or tsv output is available. I have been able to do it with beautifulsoup and in R, but that's neither are available in the environment in which it needs to be deployed. I am just trying to extract the word and confidence "x_wconf." An example output file is below, for which I'd be happy to just return lists of [90, 87, 89, 89] and ['the', '(quick)',

问题 I'm trying to get Tesseract to output a file with labelled bounding boxes that result from page segmentation (pre OCR). I know it must be capable of doing this 'out of the box' because of the results shown at the ICDAR competitions where contestants had to segment and various documents (academic paper here). Here's an example from that paper illustrating what I want to create: I have built the latest version of tesseract using brew, brew install tesseract --HEAD , and have been trying to edit