I have attached a very simple text image that I want text from. It is white with a black background. To the naked eye it seems absolutely legible but apparently to tesseract it is a rubbish. I have tried changing the oem and psm parameters but nothing seems to work. Please note that this works ..
I have not bordered table like on picture . I tried to use example from this post I have got this result But I need something like this How I could tune Open CV to get needed result? Source: Python..
So i am having a fight removing this line after preprocessing. does anyone have a general idea to fixes? the line running over the letters Source: Python..
So I’m trying to create a license plate detection program and I have been following a guide for that, (https://github.com/nicknochnack/ANPRwithPython/blob/main/ANPR%20-%20Tutorial.ipynb) however I am currently running into a problem and I have found no working solution online yet. img = cv2.imread(‘image4.jpg’) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) bfilter = cv2.bilateralFilter(gray, 11, 17, 17) #Noise reduction edged = cv2.Canny(bfilter, ..
I’ve got a strange error: as soon as I run OCRmyPDF (inside Python or cmd), my output is stuffed with the following error message: [WinError 2] The system cannot find the file specified Even through the "verbosity=True" option in the logger, I get no indication of the origin of the error message (I get this ..
I want to be able to recognize digits from images. So I have been playing around with tesseract and python. I looked into how to prepare the image and tried running tesseract on it and I must say I am pretty disappointed by how badly my digits are recognized. I have tried to prepare my ..
so i am getting an error in this code def preProcessing(img): img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) img = cv2.equalizeHist(img) img = img/255 return img while True: success, imgOriginal = cap.read() img = np.asarray(imgOriginal) img = cv2.resize(img ,(32,32)) img = preProcessing(img) cv2.imshow("Processsed Image", img) img = img.reshape(1, 32, 32, 1) i get an error as shown below ..
I am working with OpenCV and Tesseract. I was trying to convert a range of grey pixels to black. Example: As you can see there is a "bright" multiple grey color, I need to convert that to full black for OCR to be able to read it better. Does anyone know how to do so? ..
I am using pylibdmtx in Python 3.6 to detect barcode types (Datamatrix) which can’t be detected by zbar. Unfortunately, documentation is sparse and the barcode detection is painfully slow, taking up to 30 seconds per image on a machine with relatively recent hardware. What are some ways I can speed up the detection time? My ..
I have an image that is oriented at a 90-degree angle. When fetch the angle using the tesseract command line I get a 90-degree orientation. However, when I run it in python code using pytesseract (with the same tesseract version) I get 270-degree orientation. In the command line: >tesseract test-file.PNG stdout -l osd –psm 0 ..