Detection of structural tampering in a digital image using Canny Edge Detector

Author

Mall, Vinod ; Roy, Anil K. ; Mitra, Sanjit ; Shukla, Satyavati

Author_Institution

Dhirubhai Ambani Inst. of Inf. & Commun. Technol., Gandhinagar, India

fYear

2013

fDate

17-18 May 2013

Firstpage

1

Lastpage

7

Abstract

The verification of authenticity of digital images has become a challenging problem due to easy availability of image editing software which can also be used to tamper the images. Content based digital signature is being used by researchers for detecting malicious tampering operations. In the proposed scheme, Canny Edge Detector has been used to extract the feature vectors of the image through edge detection. This information is then used to generate a hash vector for tampering detection and localization. The suitable mathematical index has been developed to quantify the amount of tampering using the hash generated from digital content of the image.

Keywords

digital signatures; edge detection; image coding; Canny edge detector; content based digital signature; digital image authenticity verification; feature vector extraction; image editing software; malicious tampering operations; mathematical index; structural tampering detection; Detectors; Feature extraction; Image edge detection; Indexes; Matrix converters; Robustness; Vectors; Canny Edge Detector; Content preserving manipulation; Digital Watermarking; Gaussian filter; Hash function; Image Tampering; Image compression; Similarity value; Tampering detection; Tampering localization; cryptographic digital signature;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics, Electronics & Vision (ICIEV), 2013 International Conference on

Conference_Location

Dhaka

Print_ISBN

978-1-4799-0397-9

Type

conf

DOI

10.1109/ICIEV.2013.6572599

Filename

6572599