python-tesseract

问题 Through tesseract-OCR I am trying to extract text from the following images with a red background. I have problems extracting the text in boxes B and D because there are vertical lines. How can I clean the background like this: input: output: some idea? The image without boxes: 回答1: Here are two methods to clean the image using Python OpenCV Method #1: Numpy thresholding Since the vertical lines, horizontal lines, and the background are in red we can take advantage of this and use Numpy

问题 I have a code to detect and identify the car number plate and convert the image into text using tesseract. I am using openCV to localise the number plate. The problem that I am facing is that tesseract is not accurately identifying the number. Is there any way I can improve the tesseract performance? My code (which I downloaded from Internet) is: import numpy as np import cv2 # from copy import deepcopy from PIL import Image import pytesseract as tess # plate = 0 def preprocess(img): # print

问题 I have a code to detect and identify the car number plate and convert the image into text using tesseract. I am using openCV to localise the number plate. The problem that I am facing is that tesseract is not accurately identifying the number. Is there any way I can improve the tesseract performance? My code (which I downloaded from Internet) is: import numpy as np import cv2 # from copy import deepcopy from PIL import Image import pytesseract as tess # plate = 0 def preprocess(img): # print

问题 I need to transcribe an image.tif with several pages to text using pytesseract. I have the next code: > From PIL import Image > Import pytesseract > Pytesseract.pytesseract.tesseract_cmd = 'C: / Program Files (x86) / Tesseract- > OCR / tesseract ' > Print (pytesseract.image_to_string (Image.open ('CAMARA.tif'), lang = "spa")) The problem is that only extract the firs page. How can i extract all of them? 回答1: I was able to fix the same problem by calling the method convert() as below image =

问题 I need to transcribe an image.tif with several pages to text using pytesseract. I have the next code: > From PIL import Image > Import pytesseract > Pytesseract.pytesseract.tesseract_cmd = 'C: / Program Files (x86) / Tesseract- > OCR / tesseract ' > Print (pytesseract.image_to_string (Image.open ('CAMARA.tif'), lang = "spa")) The problem is that only extract the firs page. How can i extract all of them? 回答1: I was able to fix the same problem by calling the method convert() as below image =

问题 I'm struggling with Tesseract OCR. I have a blood examination image, it has a table with indentation. Although tesseract recognizes the characters very well, its structure isn't preserved in the final output. For example, look the lines below "Emocromo con formula" (Eng. Translation: blood count with formula) that are indented. I want to preserve that indentation. I read the other related discussions and I found the option preserve_interword_spaces=1 . The result became slightly better but as

问题 I want to extract text (mainly numbers) from images like this I tried this code import pytesseract from PIL import Image pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe' img = Image.open('1.jpg') text = pytesseract.image_to_string(img, lang='eng') print(text) but all i get is this (hE PPAR) 回答1: When performing OCR, it is important to preprocess the image so the desired text to detect is in black with the background in white . To do this, here's a simple

问题 I'm trying to use pytesseract to recognize two numbers from an image: I have tried --psm 6 up to 10 I have tried -c tessedit_char_whitelist=0123456789' None of the above returns 49 number. Closest I got is returned 4 without 9 Do you have any tips about how to make tesseract recognize it ? 回答1: Try --psm 13 --oem 3 ( oem = 1 or 2 should do also) import pytesseract from PIL import Image import requests import io response = requests.get('https://i.stack.imgur.com/oAAXR.png') text = pytesseract

问题 I am trying to recognize one line of handwritten digits. Currently I do some preprocessing with Python and OpenCV, split the image into connected components and feed these components to Tesseract with PSM=10 (page segmentation mode, 10 is "treat the image like a single character") and character whitelist restricted to "0123456789". I expect Tesseract to return garbage where my connected component segmentation fails and to return exactly one digit when my segmentation succeeds. Tesseract often

问题 Working on an OCR. I can import pytesseract and use image_to_string but I want to work on this: api = tesseract.TessBaseAPI() api.SetVariable("tessedit_char_whitelist", "0123456789") api.Init('.','eng',tesseract.OEM_DEFAULT) api.SetPageSegMode(tesseract.PSM_AUTO) This is to set tesseract to detect only numbers or alphabets. When I run my code I get this error: ImportError: No module named tesseract I have tesseract-ocr installed, and pytesseract as well. Yet I keep getting this error. 回答1: I