From: Automated approach for splicing detection using first digit probability distribution features
Q1–Q2 | Proposed | [7] | [10] | [12] | [11] 60–65 | [11] 60–70 | [11] 60–75 | [11] 60–80 | [11] 60–85 | [11] 65–85 | [11] 70–85 | [11] 75–85 | [11] 80–85 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
60–65 | 0.3468 | 0.5704 | 0.6099 | 0.1949 | 0.1904 | 0.7885 | 0.8291 | 0.8201 | 0.8309 | 0.8221 | 0.8220 | 0.8237 | 0.6717 |
60–70 | 0.1304 | 0.2774 | 0.2940 | 0.1296 | 0.6525 | 0.1116 | 0.8382 | 0.8282 | 0.8247 | 0.8375 | 0.8373 | 0.8363 | 0.6476 |
60–75 | 0.2190 | 0.0948 | 0.2114 | 0.1525 | 0.8168 | 0.8318 | 0.1142 | 0.3255 | 0.1546 | 0.2504 | 0.3140 | 0.2278 | 0.3332 |
60–80 | 0.1944 | 0.2003 | 0.1707 | 0.1495 | 0.6763 | 0.8385 | 0.4128 | 0.0859 | 0.7329 | 0.1065 | 0.1006 | 0.1445 | 0.8089 |
60–85 | 0.2238 | 0.2575 | 0.1675 | 0.1310 | 0.8235 | 0.2221 | 0.1699 | 0.8285 | 0.0895 | 0.6289 | 0.8207 | 0.5750 | 0.3769 |
65–85 | 0.2166 | 0.2743 | 0.1799 | 0.1219 | 0.7148 | 0.8372 | 0.3762 | 0.1683 | 0.2571 | 0.0980 | 0.2744 | 0.1954 | 0.6036 |
70–85 | 0.2205 | 0.1939 | 0.1686 | 0.1872 | 0.6201 | 0.8451 | 0.4183 | 0.1326 | 0.7141 | 0.2305 | 0.0950 | 0.3201 | 0.8004 |
75–85 | 0.2965 | 0.2331 | 0.7668 | 0.1693 | 0.7439 | 0.8377 | 0.3582 | 0.2831 | 0.4030 | 0.2530 | 0.3533 | 0.1272 | 0.8053 |
80–85 | 0.2254 | 0.4861 | 0.8517 | 0.2719 | 0.4786 | 0.7091 | 0.7978 | 0.8433 | 0.8287 | 0.8325 | 0.8449 | 0.8392 | 0.1788 |