Question

I have a project where I need to identify the license plate of a car using OpenCV.

I want to load an image of a number or a letter and let OpenCV identify it and print it to the console.

Is there a function do this? If not, how can I do it?

Note: I am working on gray level

Please help, I have to make it a week from now

thank you for your fast answer

I am working with Microsoft Visual C++ 2008 Express Edition

and about library the following libraries are whwat i used:

"C:Program FilesOpenCVlib"
"C:Program FilesOpenCVcvinclude"
"C:Program FilesOpenCVcxcoreinclude"
"C:Program FilesOpenCVotherlibshighgui"
"C:Program FilesOpenCVcvauxinclude"
"C:Program FilesOpenCVotherlibs\_graphicsinclude"
"C:Program FilesOpenCVcvsrc"
"C:Program FilesOpenCVcxcoresrc"
"C:Program FilesOpenCVcvauxsrc"
"C:Program FilesOpenCVotherlibshighgui"
"C:Program FilesOpenCVotherlibs\_graphicssrc"

Answer 1

dunno what implementations are available in opencv, but a couple other libraries are:

Answer 2

if you are looking to learn more about OpenCV generally, you a good place to start is with this book: Learning OpenCV by Bradksi et al.

Answer 3

I have recently been working on a simple implementation of ANPR in OpenCV python. You can check it out here

It is written with the help of Shogun Machine Learning toolbox with the Image processing part in OpenCV. Do play with the variables as they need some tweaking for cars from different regions.

Answer 4

You can use the color of the ROI to create the filter. This will work until the plate region and the vehicle has the same color.

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

while(1):
    _, frame = cap.read()
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

    lower_red = np.array([30,150,50])
    upper_red = np.array([255,255,180])

    mask = cv2.inRange(hsv, lower_red, upper_red)
    res = cv2.bitwise_and(frame,frame, mask= mask)

    cv2.imshow( frame ,frame)
    cv2.imshow( mask ,mask)
    cv2.imshow( res ,res)

    k = cv2.waitKey(5) & 0xFF
    if k == 27:
        break

cv2.destroyAllWindows()
cap.release()

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