import cv2
import imutils
import pytesseract
pytesseract.pytesseract.tesseract_cmd=r"C:\Program Files\Tesseract- OCR\tesseract.exe"
image =cv2.imread("Image path")
image=imutils.resize(image,width=500)
cv2.imshow("Original Image",image)
cv2.waitKey(0)
gray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
cv2.imshow("l - Grayscale convertion",gray)
cv2.waitKey(0)
gray=cv2.bilateralFilter(gray,11,17,17)
cv2.imshow("2-Bilateral Filter",gray)
cv2.waitKey(0)
edged=cv2.Canny(gray,170,200)
cv2.imshow("3-Canny Edge",edged)
cv2.waitKey(0)
cnts,new__=cv2.findContours(edged.copy(),cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)
img1=image.copy()
cv2.drawContours(img1,cnts,-1,(0,255,0),3)
cv2.imshow("4-All Contours",img1)
cv2.waitKey(0)
cnts=sorted(cnts,key=cv2.contourArea,reverse=True)[:30]
NumberPlateCnt=None
img2=image.copy() cv2.drawContours(img2,cnts,-1,(0,255,0),3) cv2.imshow("5-Top 30 Contours",img2) cv2.waitKey(0)
count=0 idx=7 for c in cnts:
peri=cv2.arcLength(c,True)
print(peri)
approx=cv2.approxPolyDP(c,0.02,peri,True)
if len(approx)==4:
NumberPlateCnt=approx
x,y,w,h=cv2.boundingRect(c)
new_img=image[y:y+h,x:x+w]
cv2.inwrite("cropped Image-Text/"+str(idx)+'.png',new_img)
idx+=1
break