Title
A New Detection Method Of Halftone Images Based On Crisscross Checking Technique
Abstract
The rapid advancement in digital technological escalates demands for products with digital data functionality. Digital data are easily distorted or tampered with. Therefore, providing protection front distortions or to authenticate poses a great challenge to information security and image processing. In this paper, we propose a crisscross checking technique for halftone images. The host image is divided into row and column blocks from which scrambled code-blocks will be generated. The MD5 and RSA algorithms will be applied to code-strings containing code-blocks to generate encrypted sign messages. These messages will be hidden in the blocks. During the detection process, the row and column blocks will be checked for these messages. A block will be marked as tampered when an error bit is located.
Year
DOI
Venue
2003
10.1109/MMSE.2003.1254427
IEEE FIFTH INTERNATIOANL SYMPOSIUM ON MULTIMEDIA SOFTWARE ENGINEERING, PROCEEDINGS
Keywords
Field
DocType
image registration,cryptography,image processing,message authentication,information security,image segmentation
Computer vision,Feature detection (computer vision),Cryptography,Computer science,Image processing,Image segmentation,Halftone,Encryption,Artificial intelligence,Digital image processing,Digital data
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
tungshou chen100.34
jeanne chen200.34
Yu-Mei Pan310.69