ocr

问题 I want to extract the text from an image in python . In order to do that, I have chosen pytesseract . When I tried extracting the text from the image, the results weren't satisfactory. I also went through this and implemented all the techniques listed down. Yet, it doesn't seem to perform well. Image: Code: import pytesseract import cv2 import numpy as np img = cv2.imread('D:\\wordsimg.png') img = cv2.resize(img, None, fx=1.2, fy=1.2, interpolation=cv2.INTER_CUBIC) img = cv2.cvtColor(img, cv2

问题 Hi I am looking to improve my performance with pytesseract at digit recognition. I take my raw image and split it into parts that look like this: The size can vary. To this I apply some pre-processing methods like so image = cv2.imread(im, cv2.IMREAD_GRAYSCALE) image = cv2.GaussianBlur(image, (1, 1), 0) kernel = np.ones((5, 5), np.uint8) result_img = cv2.blur(img, (2, 2), 0) result_img = cv2.dilate(result_img, kernel, iterations=1) result_img = cv2.erode(result_img, kernel, iterations=1) and

问题 Hi I am looking to improve my performance with pytesseract at digit recognition. I take my raw image and split it into parts that look like this: The size can vary. To this I apply some pre-processing methods like so image = cv2.imread(im, cv2.IMREAD_GRAYSCALE) image = cv2.GaussianBlur(image, (1, 1), 0) kernel = np.ones((5, 5), np.uint8) result_img = cv2.blur(img, (2, 2), 0) result_img = cv2.dilate(result_img, kernel, iterations=1) result_img = cv2.erode(result_img, kernel, iterations=1) and

问题 I want to use text-detection from image (OCR) of google cloud vision api. But i dont know how to get the subscription key from and how to authenticate and make calls in C#. Can some body tell me the step by step procedure to do that. Im very new this btw. 回答1: I think the question is a bit messed up, so let me take a step back and try to cover the most important things regarding authentication when using the Cloud Vision API. First of all, the documentation offers a really clear explanation

问题 I am trying to OCR an entire directory of pdf files using pytesseract and imagemagick but the issue is that imagemagick is consuming all my Temp folder space and finally I'm getting a cache error i.e "CacheError: unable to extend cache 'C:/Users/Azu/AppData/Local/Temp/magick-18244WfgPyAToCsau11': No space left on device @ error/cache.c/OpenPixelCache/3883" I have also written a code to delete the temp folder content once OCR'd but still facing the same issue. Here's the code till now: import

问题 I'm using the latest Tesseract OCR engine in R to extract text from a couple of images. It works pretty well and I'm happy with the results. The problem is that I don't want the whole text, just some part, but I don't know how to extract it. Code is this: library("tesseract") library("pdftools") library("magick") mypdfFile<-"C:/Users/.../fileName.pdf" mypngFile<-pdf_convert(mypdfFile, format="png", pages=1, dpi=600) myImage<-image_read("fileName_1.png") textFile<-ocr(myImage,engine =

问题 I checked the accuracy of a segmentation method using the bboxPrecisionRecall function in Matlab version '9.4.0.857798 (R2018a) Update 2' and test result of an algorithm using IESK-ArDB dataset. The database is freely available here. Samples of database images and . I get 0s as output when trying to calculate the accuracy. What shall I do to get real results for my segmented algorithm? The Code is below: %% clean Workspace clear; clc; %% my segmented bounding box cell propied = {[48.5,84.5

问题 For my current ocr project I tried using tesserect using the the python cover pytesseract for converting images into text files. Up till now I was only passing well straight oriented images into my module at it was able to properly figure out text in that image. But now as I am passing rotated images it is not able recognize even a single word. So to get good result I need to pass images only with proper orientation. Now I want to know that is there any method to figure out the orientation of

问题 I'm scanning a lot of A3 documents using a standard Brother A3 Multifunction and then use FineReader Pro for OCR'ing the images. However, I'm getting a lot of errors in the characters recognized, and lots of non-alphanumeric strange characters. Can someone give me any tips for programmatically improving the OCR accuracy, either pre-processing on the scanned images, or post-processing on the recognized text? Edit: Find a sample pdf. It includes some sample images from which I get the poorest

问题 I'm scanning a lot of A3 documents using a standard Brother A3 Multifunction and then use FineReader Pro for OCR'ing the images. However, I'm getting a lot of errors in the characters recognized, and lots of non-alphanumeric strange characters. Can someone give me any tips for programmatically improving the OCR accuracy, either pre-processing on the scanned images, or post-processing on the recognized text? Edit: Find a sample pdf. It includes some sample images from which I get the poorest