Finished adding language specific ocr cleanup code

apps/ocr/lang/eng.py

@@ -0,0 +1,38 @@
+import re
+
+def check_word(word):
+    ALL_ALPHANUM = re.compile('([0-9a-z])', re.I)
+    NON_ALPHANUM = re.compile('([^0-9a-z])', re.I)
+
+    TOO_MANY_VOWELS = re.compile('[aeiou]{3}', re.I)
+    TOO_MANY_CONSONANTS = re.compile('[bcdfghjklmnpqrstvwxyz]{5}', re.I)
+    ALL_ALPHA = re.compile('^[a-z]+$', re.I)
+    SINGLE_LETTER_WORDS = re.compile('^[ai]$', re.I)
+
+    #(L) If a string is longer than 20 characters, it is garbage
+    if len(word) > 20:
+        return None
+
+    #(A) If a string’s ratio of alphanumeric characters to total 
+    #characters is less than 50%, the string is garbage
+    if len(ALL_ALPHANUM.findall(word)) < len(word) / 2:
+        return None
+
+    #Remove word if all the letters in the word are non alphanumeric
+    if len(NON_ALPHANUM.findall(word)) == len(word):
+        return None
+    
+    #Removed words with too many consecutie vowels
+    if TOO_MANY_VOWELS.findall(word):
+        return None 
+
+    #Removed words with too many consecutie consonants
+    if TOO_MANY_CONSONANTS.findall(word):
+        return None 
+
+    #Only allow specific single letter words
+    if len(word) == 1 and not SINGLE_LETTER_WORDS.findall(word):
+        return None
+        
+    return word
+