plot single fp sample

ReadRawData/pyScripts/Merge.py

@@ -40,30 +40,54 @@ def removedot(invertThin):
 
     return temp2
 
-# Read fp data from the text file
+# plot fp sample 
+def plot_sample(fp_image):
+    '''
+    plot the given sample
+    '''
+    fp_enhance_image= fingerprint_enhancer.enhance_Fingerprint(fp_image)
 
-temps = np.loadtxt("fpData/fp_image.txt")
+    fp_enhance_image[fp_enhance_image == 255] =1
 
-arr1 = np.array(temps[0]).reshape(160,160)
-arr2 = np.array(temps[1]).reshape(160,160)
-arr3 = np.array(temps[2]).reshape(160,160)
-arr4 = np.array(temps[3]).reshape(160,160)
+    skeleton = skeletonize(fp_enhance_image)
+    skeleton = np.array(skeleton, dtype=np.uint8)
+    skeleton = removedot(skeleton)
 
-fp_array1 = np.concatenate((arr1,arr2), axis=1)
-fp_array2 = np.concatenate((arr3,arr4), axis=1)
+    plt.imshow(skeleton, 'gray')
+    plt.show()
 
-fp_array = np.concatenate((fp_array1, fp_array2), axis =0)
 
-fp_image = np.reshape(fp_array, (320,320))
+# main function 
+if __name__ == "__main__":
 
-fp_enhance_image= fingerprint_enhancer.enhance_Fingerprint(fp_image)
+    # Read fp data from the text file
 
-fp_enhance_image[fp_enhance_image == 255] =1
+    temps = np.loadtxt("fpData/fp_image.txt")
+    
+    # shaping array as pixels 160x160 i.e, 25600 samples
+    arr1 = np.array(temps[0]).reshape(160,160)
+    arr2 = np.array(temps[1]).reshape(160,160)
+    arr3 = np.array(temps[2]).reshape(160,160)
+    arr4 = np.array(temps[3]).reshape(160,160)
 
-skeleton = skeletonize(fp_enhance_image)
-skeleton = np.array(skeleton, dtype=np.uint8)
-skeleton = removedot(skeleton)
+    plot_sample(arr1)
+    
+    '''
+    fp_array1 = np.concatenate((arr1,arr2), axis=1)
+    fp_array2 = np.concatenate((arr3,arr4), axis=1)
 
-plt.imshow(skeleton, 'gray')
-plt.show()
+    fp_array = np.concatenate((fp_array1, fp_array2), axis =0)
 
+    fp_image = np.reshape(fp_array, (320,320))
+
+    fp_enhance_image= fingerprint_enhancer.enhance_Fingerprint(fp_image)
+
+    fp_enhance_image[fp_enhance_image == 255] =1
+
+    skeleton = skeletonize(fp_enhance_image)
+    skeleton = np.array(skeleton, dtype=np.uint8)
+    skeleton = removedot(skeleton)
+
+    plt.imshow(skeleton, 'gray')
+    plt.show()
+    '''