Downloads: 132
Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 2, February 2014
Development and Calibrating Features for Digitally Forged Image Authentication
D. Subitha Priyadharshini | P. Maya [2]
Abstract: Nowadays image forgeries are done in many ways using software tools. To avoid the image forgery a hash method is been developed which has three secret keys. It is also used to detect image forgery including insertion, removal, object replacement, abnormal colour modification and locating forged areas. Hash values are developed by concatenating local features and global features. For more security skin based biometric values are added with the hash construction. A test image is compared with the hash of a reference image to find whether the image is similar or forged. A network called triple key chaotic neural network is implemented and its a versatile network to make the image secure. And the image will be retrieved and restored.
Keywords: robust hashing, forgery detection, skin based biometrics, chaotic neural network
Edition: Volume 3 Issue 2, February 2014,
Pages: 364 - 369
Similar Articles with Keyword 'forgery detection'
Downloads: 99
Review Papers, Electronics & Communication Engineering, India, Volume 3 Issue 10, October 2014
Pages: 2212 - 2217A Review on Digital Image Forgeries
Hemin Jose | Lekshmy S [2]
Downloads: 111
Case Studies, Electronics & Communication Engineering, India, Volume 3 Issue 6, June 2014
Pages: 1104 - 1106A Novel Approach for Image Authentication by Robust Hashing Using Zernike Moments and Local Features
Arunkumar Geddalamari | D Basavalingappa