Houghline method of openCV is giving only 1 line as a output

I am using houghLine method for line detection. But it gives only 1 line as an output which is I think is the line with the largest votes. I tried a solution from In opencv using houghlines prints only one line but this is taking a lot of time and is not working.

My code is:

folderInPath = "DevanagariHandwrittenCharacterDataset/Test"
folderOutPath = "DevanagariHandwrittenCharacterDataset/Test_Lines"


for folderPath in os.listdir(folderInPath):
    inPath = "DevanagariHandwrittenCharacterDataset/Test/" + folderPath
    #os.mkdir(os.path.join(folderOutPath, folderPath+'_lines'))
    outPath = os.path.join(folderOutPath, folderPath+'_lines')
    dirs = "DevanagariHandwrittenCharacterDataset/Test/" + folderPath
    for imagePath in os.listdir(dirs):
        # imagePath contains name of the image for eg. 46214.png 
        inputPath = os.path.join(inPath, imagePath)
        # inputPath contains the full directory name for eg. character_1_ka/46214.png|

        # Reading the required image in which operations are to be done.  
        # Make sure that the image is in the same directory in which this python program is 
        img = cv2.imread(inputPath)
    
        # Convert the img to grayscale 
        gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
        
        # Apply edge detection method on the image 
        edges = cv2.Canny(gray,50,150,apertureSize = 3)
    
        # This returns an array of r and theta values 
        lines = cv2.HoughLines(edges,1,np.pi/180, 5) 
        
        for line in lines:
            # The below for loop runs till r and theta values are in the range of the 2d array 
            for r,theta in line:
                # Stores the value of cos(theta) in a 
                a = np.cos(theta) 

                # Stores the value of sin(theta) in b 
                b = np.sin(theta)

                # x0 stores the value rcos(theta) 
                x0 = a*r 

                # y0 stores the value rsin(theta) 
                y0 = b*r 

                # x1 stores the rounded off value of (rcos(theta)-1000sin(theta))
                x1 = int(x0 + 1000*(-b))

                # y1 stores the rounded off value of (rsin(theta)+1000cos(theta))
                y1 = int(y0 + 1000*(a))

                # x2 stores the rounded off value of (rcos(theta)+1000sin(theta)) 
                x2 = int(x0 - 1000*(-b))

                # y2 stores the rounded off value of (rsin(theta)-1000cos(theta)) 
                y2 = int(y0 - 1000*(a)) 

                # cv2.line draws a line in img from the point(x1,y1) to (x2,y2). (0,0,255) denotes the colour of the line to be  
                #drawn. In this case, it is red. 
                cv2.line(img,(x1,y1), (x2,y2), (0,0,255),2) 

                # fullOutPath contains the path of the output 
                fullOutPath = os.path.join(outPath, 'lines_'+imagePath)

                # All the changes made in the input image are finally written on a new image houghlines.jpg 
                cv2.imwrite(fullOutPath, img) 
    print("Done " + folderPath)

For information, my image input is a character from the Hindi language of 32 x 32 pixels. Someone with any suggestions or solution for this.

I am attaching one of the image in my dataset. There are several image like this.Image

Your code is generally correct, except that you didn't choose the correct parameters for the Line detection lines = cv2.HoughLines(edges,1,np.pi/180, 5).

replacing this instruction by: lines = cv2.HoughLines(edges,1,np.pi/90, 18)

will give you this result:

Note: if you want to detect more or less lines, you have to change the parameters accordingly.