DocumentCode :
258932
Title :
Shape Based Copy Move Forgery Detection Using Level Set Approach
Author :
Sudhakar, K. ; Sandeep, V.M. ; Kulkarni, Santosh
Author_Institution :
Jaya Prakash Narayan Coll. of Eng., Mahabubnagar, India
fYear :
2014
fDate :
8-10 Jan. 2014
Firstpage :
213
Lastpage :
217
Abstract :
This paper proposes a new method to Detect Copy Move Forgery using shape signatures derived from distance map. The method is simple, fast, robust, efficient as compared to traditional approaches and is invariant to scale, rotation and aspect ratio.
Keywords :
digital signatures; image coding; aspect ratio; distance map; level set approach; rotation invariance; scale invariance; shape based copy move forgery detection; shape signatures; Deformable models; Feature extraction; Forgery; Image segmentation; Level set; Shape; Vectors; Chan-Vese method; Copy move forgery detection; distance map; level-set; segmentation; shape signatures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing (ICSIP), 2014 Fifth International Conference on
Conference_Location :
Jeju Island
Type :
conf
DOI :
10.1109/ICSIP.2014.40
Filename :
6754879
Link To Document :
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