Extract SKU values which may be numeric or alphanumeric and must be 4 to 20 characters long
I am open to including more code than just a regular expression.
I am open to including more code than just a regular expression.
The OCRopus engine is based on two research projects: a high-performance handwriting recognizer developed in the mid-90’s and deployed by the US Census bureau, and novel high-performance layout analysis methods.
I am having some problems with pytesseract. I need to configure Tesseract to that it is configured to accept single digits while also only being able to accept numbers as the number zero is often confused with an ‘O’.
I’ve been trying to clear images for OCR: (the lines)
I am trying to implement a “Digit Recognition OCR” in OpenCV-Python (cv2). It is just for learning purposes. I would like to learn both KNearest and SVM features in OpenCV.
I am trying to find a way to break the split the lines of text in a scanned document that has been adaptive thresholded. Right now, I am storing the pixel values of the document as unsigned ints from 0 to 255, and I am taking the average of the pixels in each line, and I split the lines into ranges based on whether the average of the pixels values is larger than 250, and then I take the median of each range of lines for which this holds. However, this methods sometimes fails, as there can be black splotches on the image.
I am using python-tesseract to extract words from an image. This is a python wrapper for tesseract which is an OCR code.
First, apologies if this has been asked before – I searched for a while through the existing posts, but could not find support.