Performance Comparison of Feature Detectors in Image Forgery Detection (ME Thesis) (Record no. 60375)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01969nam a22001457a 4500 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Mumtaz Ali |
| -- | 13MCSE04 |
| -- | Supervisor - Dr. Umair Ali Khan |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | 13MCSE04 |
| 245 ## - TITLE STATEMENT | |
| Title | Performance Comparison of Feature Detectors in Image Forgery Detection (ME Thesis) |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Nawabshah: |
| Name of publisher | QUEST, |
| Year of publication | 2016. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 56p. |
| 500 ## - GENERAL NOTE | |
| General note | ABSTRACT<br/><br/>The authenticity of digital images has remained questionable ever since the technology has progressed to the extent where a plethora of freely available software can drastically change the image contents with much less effort. This offers a dedicated challenge to ascertain the veracity of a digital image, especially when it is to be presented as legal evidence. A number of techniques have been proposed to detect image forgery, albeit their respective efficacy depends on the type of forgery and image features. Moreover, their respective performance with respect to accuracy and execution time also varies.<br/>This thesis focuses on the most frequently used image forgery referred to as. copy move forgery. The work carried out in this thesis is two-fold. First. n hybrid approach combining the existing block-based and non-block-based techniques of copy-move forgery has been proposed. second, the performance of the proposed techniques has been evaluated with different image feature, including SIFT, SURF MSER, MinEgen, FAST and Harris. The evaluation criteria comprising accuracy, Precision, recall and execution time help to select a desired tradeoff between accuracy and execution time. The results proposed in the thesis show that the proposed image forgery detection technique can successfully detect copy-move forgery with remarkably high accuracy and reasonable execution time. Apart from this, the proposed technique also works fine with the smoothed and brightened images.<br/><br/><br/> |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Department of Computer System Engineering |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://tinyurl.com/v2ymcexv |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Thesis and Dissertation |
| Withdrawn status | Lost status | Home library | Current library | Date acquired | Accession Number | Koha item type |
|---|---|---|---|---|---|---|
| Research Section | Research Section | 03/10/2018 | MP/27-306 | Thesis and Dissertation |