All Questions
Tagged with ocr computer-vision
314 questions
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46
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TrOCR not recognizing text properly
I'm building a model that will be able to adaptably interact with webpages, currently creating a basic pipeline that will attempt to login to a randomly generated html page, and then document results ...
1
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1
answer
94
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How do I extract faint dotted text using OpenCV python
I was trying to extract serial number from accue case. Said serial number embossed as dotted lines and not very visible.
I was able to extract the serial number but the result were not reliable.
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-1
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1
answer
65
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how to extract omr data in python?
I am currently working on a OMR data extraction project where i have to check students OMR sheets. here is my code snippet:
import cv2
import numpy as np
# read image
path = './data/images/5.jpg'
img ...
-1
votes
2
answers
81
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Selenium using ia to bypass canvas Captcha
I'm trying to write a web scraping script to create an email address automatically without having to do it manually. Since I have some knowledge of web scraping, I thought it would be simple, but in ...
-1
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1
answer
94
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OCR Preprocessing for Oman License Plates - Issues with Alphabet Recognition [closed]
I’m working on an OCR system for Oman license plates and struggling to improve the accuracy of alphabet recognition. The plates often include small, bold characters, and my current preprocessing ...
- 3
2
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1
answer
122
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Need to segment each number from the image separately
I have created a CNN model using the MNIST dataset. I want to make predictions for the sequence of numbers present in the images. The technique involves segmenting each image and feeding it into the ...
- 125
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229
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Formatting mismatch for PaddleOCR
Currently, I am working on an OCR project where I need to read text from an invoice (see sample image below). I am having issues with the image skew and also the output format I am getting, I need ...
1
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0
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70
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Extract text from processed image
I'm trying to extract text from a croped image of any EU license plate. I've tried using easyocr but the results is to inaccurate for me to use. I have trained a YOLOV8 model to detect the license ...
- 25
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36
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Pytesseract OCR not detecting numbers with less than 3 digits
I have a python script that captures a segment of the screen and reads what the text value of it is and converts the text to only numerical characters returns it. My problem is that pytesseract only ...
0
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1
answer
77
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Detect only left-most boxes in image
I have a JPG image that contain mobile brand names:
Now I want to detect each word first character by python script
I wrote following python script for this:
import cv2
import numpy as np
from ...
- 771
1
vote
2
answers
75
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Text Image Binary Classifier without deep learning or tesseract
I have 20k small label images and each image has the word "Back" or "Front".
Image resolution is all (200px, 25px)
I can classify these images 100% accuracy with tesseract_OCR.
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- 67
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26
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I am extracting images from a PDF file. Then I am applying deskewing on it to correct the orientation. However it is failing in certain cases
Fixture details
In this Fixture 5 is getting rotated properly, whereas Fixture 6 is not getting rotated properly and is in a downright position. Please help
def deskew2(image):
coords = np....
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56
views
better approach for connected component analysis of image (with lots of text)
import cv2
import numpy as np
import matplotlib.pyplot as plt
img = cv2.imread("20240328_145148.jpg")
gray_img=cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray_img, (7,...
- 3
0
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0
answers
68
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Struggling with using an OMR to detect checkboxes
Good morning! Right now, I'm working on a project that takes a paper form and converts it into an Excel spreadsheet. The unfortunate problem I'm working to solve is actually detecting the checkboxes ...
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42
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ValueError: Input 0 of layer "model" is incompatible with the layer: expected shape=(None, 64, 32, 1), found shape=(32, 32, 1)
I tried debugging and added print statements, to my surprise it is of correct shape, yet the program says its not of the shape
Shape: (None, 64, 32, 1)
Model: "model"
...
