International Journal of Computer Applications
For an efficient image security, image hashing is one of the solutions for image authentication. A robust image hashing mechanism must be robust to image processing operations as well as geometric distortions. A better hashing technique must ensure an efficient detection of image forgery like insertion, deletion, replacement of objects, malicious color tampering and for locating the exact forged areas. This paper describes a novel image hash function, which is generated by using both global and local features of an image.