As a basic technique, use binarization and connected component analysis. This will give you “blobs” corresponding to the individual characters and you can get their bounding boxes. You will face extra difficulties: some characters can touch and form a single blob. You will need some detection logics to split them, for instance based on size … Read more
the code below for me is doing decent job but it’s hyper parameter sensitive : import cv2 import imutils import numpy as np import matplotlib.pyplot as plt from matplotlib import pyplot as plt def square_number_box_denoiser(image_path=”/content/9.png”,is_resize = False, resize_width = 768): ”’ ref : https://pretagteam.com/question/removing-horizontal-lines-in-image-opencv-python-matplotlib Args : image_path (str) : path of the image containing numbers/digits … Read more
The old traineddata files can be found at https://sourceforge.net/projects/tesseract-ocr-alt/files/. solved Matlab – OCR Languages Support Package Installation [closed]
You can use tesseract-ocr. Very effective tool. I haven’t used tesseract in android.I guess you can get information in this and this links. solved Is there any way to extract text from image though OCR? any one kindly recommend example..thanks