Resolved: Imaginary circles detected

My program is detecting circles that are not there as well as the coins. How do I fix this?

Here is my code:

import numpy as np
import cv2

#resizing image
def resize_image(image):
    width = int(image.shape[1] * 0.15)
    height = int(image.shape[0] * 0.15)
    dim = (width, height)
    image = cv2.resize(image, dim, interpolation = cv2.INTER_AREA)
    return image

img = cv2.imread('C:/Users/quinn/Project-Change/Coins/fives_and_twos4.jpg',cv2.IMREAD_GRAYSCALE)
original_image = cv2.imread('C:/Users/quinn/Project-Change/Coins/fives_and_twos4.jpg',1)

img = resize_image(img)
original_image = resize_image(original_image)

#add blur
img = cv2.GaussianBlur(img, (5,5), 0)

#detect circles
circles = cv2.HoughCircles(img,cv2.HOUGH_GRADIENT,0.9,120,param1=50,param2=27,minRadius=60,maxRadius=120)
print(circles)

circles = np.uint16(np.around(circles))
count = 1
for i in circles[0,:]:

    # draw the outer circle
    cv2.circle(original_image,(i[0],i[1]),i[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(original_image,(i[0],i[1]),2,(0,0,255),3)
    cv2.putText(original_image, str(count),(i[0],i[1]), cv2.FONT_HERSHEY_SIMPLEX, 2, (0,0,0), 2)
    count += 1

#show images
cv2.imshow('Detected Coins', original_image)
cv2.waitKey(0)
cv2.destroyAllWindows()