package com.scalexy.marif;
import com.machinezoo.sourceafis.FingerprintImage;
import com.machinezoo.sourceafis.FingerprintMatcher;
import com.machinezoo.sourceafis.FingerprintTemplate;
import java.io.File;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.nio.file.StandardOpenOption;
import java.util.stream.Stream;
import java.lang.instrument.Instrumentation;
public class Main {
private static Instrumentation instrumentation;
public static void main(String[] args) throws IOException {
System.out.println("Started !");
User users[] = new User[0];
long pointInTime = System.nanoTime();
File folder = new File("src/main/resources/");
File[] listOfFiles = folder.listFiles();
for (File file : listOfFiles) {
if (file.isFile()) {
pointInTime = System.nanoTime();
byte[] tempImage = Files.readAllBytes(Paths.get(file.getAbsolutePath()));
FingerprintTemplate tempTemplate = new FingerprintTemplate(new FingerprintImage().dpi(500).decode(tempImage));
users = arrayUserPush(new User(file.getName(), tempTemplate), users);
System.out.println(". Took " + ( ( System.nanoTime() - pointInTime ) / 1000000 ) + " ms");
}
}
for (User user1 : users) {
FingerprintMatcher user1Probe = new FingerprintMatcher().index(user1.template);
for (User user2 : users) {
pointInTime = System.nanoTime();
double score = user1Probe.match(user2.template);
if(score > 40) {
String user1FingerId = user1.filename.substring(0, 5);
String user2FingerId = user2.filename.substring(0, 5);
String user1Id = user1.filename.substring(0, 3);
String user2Id = user2.filename.substring(0, 3);
if(!user1FingerId.equals(user2FingerId)){
System.out.println("Mismatched fingers");
System.out.println("Took " + ((System.nanoTime() - pointInTime) / 1000000) + " ms to calculate score of " + score + " between " + user1.filename + "[" + user1FingerId + "] and " + user2.filename + "[" + user2FingerId + "]");
}
if(!user1Id.equals(user2Id)) {
System.out.println("Mismatched users");
System.out.println("Took " + ((System.nanoTime() - pointInTime) / 1000000) + " ms to calculate score of " + score + " between " + user1.filename + "[" + user1FingerId + "] and " + user2.filename + "[" + user2FingerId + "]");
}
// System.out.println("Took " + ((System.nanoTime() - pointInTime) / 1000000) + " ms to calculate score of " + score + " between " + user1.filename + "[" + user1FingerId + "] and " + user2.filename + "[" + user2FingerId + "]");
}
}
}
// FingerprintTemplate f012_3_1 =
//
// double score = new FingerprintMatcher()
// .index(probe)
// .match(candidate);
System.out.println("Ended with score of " + 0 + "!");
}
public static void addToTemplates(Path path) {
System.out.println(path);
}
public static User[] arrayUserPush(User item, User[] oldArray) {
int len = oldArray.length;
User[] newArray = new User[len+1];
System.arraycopy(oldArray, 0, newArray, 0, len);
newArray[len] = item;
return newArray;
}
}
package com.scalexy.marif;
import com.machinezoo.sourceafis.FingerprintTemplate;
import java.io.File;
public class User {
public String filename;
public FingerprintTemplate template;
public User(String filename, FingerprintTemplate template) {
this.filename = filename;
this.template = template;
}
}
Mismatched fingers
Took 0 ms to calculate score of 46.83419575414075 between 045_6_4.tif[045_6] and 013_6_6.tif[013_6]
Mismatched users
Took 0 ms to calculate score of 46.83419575414075 between 045_6_4.tif[045_6] and 013_6_6.tif[013_6]
Mismatched fingers
Took 0 ms to calculate score of 47.15536445186042 between 045_4_7.tif[045_4] and 045_8_2.tif[045_8]
Mismatched fingers
Took 0 ms to calculate score of 48.89576763560057 between 012_5_2.tif[012_5] and 017_4_7.tif[017_4]
Mismatched users
Took 0 ms to calculate score of 48.89576763560057 between 012_5_2.tif[012_5] and 017_4_7.tif[017_4]
Mismatched fingers
Took 0 ms to calculate score of 40.19906861819457 between 013_4_3.tif[013_4] and 017_4_2.tif[017_4]
Mismatched users
Took 0 ms to calculate score of 40.19906861819457 between 013_4_3.tif[013_4] and 017_4_2.tif[017_4]
Mismatched fingers
Took 0 ms to calculate score of 50.304437365351085 between 047_4_6.tif[047_4] and 047_3_5.tif[047_3]
Mismatched fingers
Took 0 ms to calculate score of 46.83419575414075 between 013_6_6.tif[013_6] and 045_6_4.tif[045_6]
Mismatched users
Took 0 ms to calculate score of 46.83419575414075 between 013_6_6.tif[013_6] and 045_6_4.tif[045_6]
Mismatched fingers
Took 0 ms to calculate score of 42.09368749239653 between 012_8_2.tif[012_8] and 017_7_7.tif[017_7]
Mismatched users
Took 0 ms to calculate score of 42.09368749239653 between 012_8_2.tif[012_8] and 017_7_7.tif[017_7]
Mismatched fingers
Took 0 ms to calculate score of 48.89576763560057 between 017_4_7.tif[017_4] and 012_5_2.tif[012_5]
Mismatched users
Took 0 ms to calculate score of 48.89576763560057 between 017_4_7.tif[017_4] and 012_5_2.tif[012_5]
The threshold of 40 is triggering false positives. This is nowhere close to 0.01 FAR. Or am I doing something wrong?
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