INTEGRITY PROTECTION OF BINARY TEXT DOCUMENT IMAGES BASED ON IMAGE TOPOLOGIES
Chu‐Hsing Lin, Yu-Ying Lin, Frode Eika Sandnes · International Journal of Pattern Recognition and Artificial Intelligence · 2008
An improved scheme for integrity protection of binary images representing text documents based on the topologies of these images is proposed. The image skeleton and the inverse skeleton are found through thinning and the skeleton signature is combined with watermark information. The result is encrypted asymmetrically and hidden in embeddable locations of the image. A series of attack experiments are conducted to demonstrate that the approach is capable of detecting tampering. Even single malicious pixel modifications are detected. The approach has a lower computation cost than previous methods.