Change preprocess system and preprocess vales.

app/src/main/java/com/example/archemistrylab/ImageProcessing/ImageProcess.java

@@ -215,7 +215,7 @@ public class ImageProcess extends AppCompatActivity {
             e.printStackTrace();
         }
         tessBaseAPI.init(FinalPathToTESS_BASE_API,"eng");
-        tessBaseAPI.setVariable(TessBaseAPI.VAR_CHAR_WHITELIST, "aAbBcCdDeEfFgGhHiIjJkKlLmMnNoOpPqQrRsStTuUvVwWxXyYzZ1234567890',.?;/=>+ ");
+        tessBaseAPI.setVariable(TessBaseAPI.VAR_CHAR_WHITELIST, "aAbBcCdDeEfFgGhHiIjJkKlLmMnNoOpPqQrRsStTuUvVwWxXyYZ2346789+-=> ");
         tessBaseAPI.setImage(bitmap);
         String retStr = "No Result";
         try {

app/src/main/python/preprosessgreyscale.py

@@ -10,7 +10,8 @@ def main(data):
     np_data = np.fromstring(decoded_data,np.uint8)
 
     img = cv2.imdecode(np_data,cv2.IMREAD_UNCHANGED)
-    img = cv2.resize(img, (100, 100))
+    img = cv2.resize(img, None,fx=2, fy=2, interpolation = cv2.INTER_AREA)
+
     img_gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
 
 
@@ -20,7 +21,7 @@ def main(data):
 
     pil_im = cv2.morphologyEx(pil_im, cv2.MORPH_OPEN, kernel)
 
-    #pil_im = cv2.morphologyEx(pil_im, cv2.MORPH_CLOSE, kernel)
+   # pil_im = cv2.morphologyEx(pil_im, cv2.MORPH_CLOSE, kernel)
 
 
     #pil_im = ImageEnhance.Brightness(pil_im)
@@ -33,10 +34,11 @@ def main(data):
 
     #image = Image.open(np_data)
     #pil_im = ImageEnhance.Contrast(image)
-    pil_im = cv2.GaussianBlur(pil_im,(5,5),0)
+    #pil_im = cv2.bilateralFilter(img, 15, 75, 75)
+    pil_im = cv2.GaussianBlur(pil_im,(9,9),9)
     pil_im = cv2.medianBlur(pil_im,5)
-    pil_im = cv2.adaptiveThreshold(pil_im,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,11,2)
 
+    pil_im = cv2.adaptiveThreshold(pil_im,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,77,10)