Made the app more tolerant to inconsistencies on the feature data.

It ignores any data that seems wrong.

app/src/main/java/com/aluxoft/earrecognition/common/EarFeature.java

@@ -68,7 +68,14 @@ public class EarFeature {
         assert this._getFeatures().type() == feature2._getFeatures().type();
 
         MatOfDMatch matches = new MatOfDMatch();
-        matcher.match(this._getFeatures(), feature2._getFeatures(), matches);
+        Mat features1 = this._getFeatures();
+        Mat features2 = feature2._getFeatures();
+
+        if (features1 == null || features2 == null) {
+            return Double.MAX_VALUE;
+        }
+
+        matcher.match(features1, features2, matches);
         DMatch[] aMatches = matches.toArray();
 
         double distance = 0;
@@ -86,11 +93,18 @@ public class EarFeature {
         features = gson.fromJson(featuresString, features.getClass());
 
         Mat mFeatures = new Mat();
+        if (features == null || features.size() == 0) {
+            return null;
+        }
+
         mFeatures.create(features.size(), kFeatureSize, CvType.CV_32F);
 
         float buffer[] = new float[1];
         for (int i=0;i<features.size();++i) {
             ArrayList<Double> feature = features.get(i);
+            if (feature == null || feature.size() != kFeatureSize) {
+                return null;
+            }
             for (int j=0;j<feature.size();++j) {
                 buffer[0] = feature.get(j).floatValue();
                 mFeatures.put(i, j, buffer);