diff --git a/fourcell/README.md b/fourcell/README.md
index ac8843a..2c02244 100644
--- a/fourcell/README.md
+++ b/fourcell/README.md
@@ -18,17 +18,18 @@ Two scripts:
 ## Page Hole Punch Order
 
 ```
-______________
-|             |
-| 1         3 |
-|             |
-|             |
-|             |
-| 3         4 |
-|             |
-|             |
-|             |
-| 5         6 |
-|             |
----------------
+   human           zero-index
+_______________  _______________
+|             |  |             |
+| 1         3 |  | 0         2 |
+|             |  |             |
+|             |  |             |
+|             |  |             |
+| 2         4 |  | 1         3 |
+|             |  |             |
+|             |  |             |
+|             |  |             |
+| 5         6 |  | 4         5 |
+|             |  |             |
+---------------  ---------------
 ```
\ No newline at end of file
diff --git a/fourcell/calibrate.py b/fourcell/calibrate.py
index b6de376..c4bf35c 100644
--- a/fourcell/calibrate.py
+++ b/fourcell/calibrate.py
@@ -4,21 +4,17 @@ import numpy as np
 import math
 from os.path import exists, basename
 from common import image_resize, display, normalize_angle
+from json import load
 
 #clockwise from top left
-order = [ 1, 3, 4, 6, 5, 2 ]
+order = [ 0, 2, 3, 5, 4, 1 ]
+matchMethods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED', 'cv2.TM_CCORR',
+            'cv2.TM_CCORR_NORMED', 'cv2.TM_SQDIFF', 'cv2.TM_SQDIFF_NORMED']
 
 def read_text (textPath) :
 	holePunches = {}
-	with open(textPath) as t:
-		for line in t:
-			i = int(line[0])
-			parts = line.split(' : ')
-			vals = parts[1].split(',')
-			holePunches[i] = {
-				'x' : int(vals[0]),
-				'y' : int(vals[1])
-			}
+	with open(textPath) as json:
+		holePunches = load(json)
 	return holePunches
 
 #
@@ -39,7 +35,7 @@ if not exists(normalImage) :
 	print('Normalized scan does not exist, please provide one that does')
 	exit(2)
 
-normalText = normalImage + '.txt'
+normalText = normalImage + '.json'
 
 if not exists(normalText) :
 	print('Corresponding normalized scan text does not exist, please generate one')
@@ -49,6 +45,8 @@ outputTmpl = sys.argv[-1]
 
 print(f'Calibrating to scan {basename(normalImage)}')
 
+registrationMark = cv2.imread('./registration_mark.png', 0)
+w, h = registrationMark.shape[:2]
 holePunches = read_text(normalText)
 original = cv2.imread(normalImage)
 img = original.copy()
@@ -59,4 +57,15 @@ if not orientation :
 	print(f'Scan is not in portrait mode, exiting...')
 	exit(3)
 
-display(img)
\ No newline at end of file
+print(holePunches)
+
+topHalf = img[holePunches['0']['y']:holePunches['1']['y']+round(height*0.1), holePunches['0']['x']:holePunches['2']['x']]
+topHalfGray = cv2.cvtColor(topHalf, cv2.COLOR_BGR2GRAY)
+res = cv2.matchTemplate(topHalfGray, registrationMark, cv2.TM_CCOEFF_NORMED)
+threshold = 0.5
+loc = np.where( res >= threshold)
+for pt in zip(*loc[::-1]):
+	print(f'{pt[0]},{pt[1]}')
+	cv2.rectangle(topHalf, pt, (pt[0] + w, pt[1] + h), (0,0,255), 2)
+
+display(topHalf)
\ No newline at end of file