Data Hiding in Binary Image for Authentication
Min Hua Wu, Bede Liu · 2004
This paper proposes a new method to embed data in binary images, including scanned text, figures, and signatures. The method manipulates flippable pixels to enforce specific block- based relationship in order to embed a significant amount of data without causing noticeable artifacts. Shuffling is applied before em- bedding to equalize the uneven embedding capacity from region to region. The hidden data can be extracted without using the orig- inal image, and can also be accurately extracted after high quality printing and scanning with the help of a few registration marks. The proposed data embedding method can be used to detect unau- thorized use of a digitized signature, and annotate or authenticate binary documents. The paper also presents analysis and discus- sions on robustness and security issues.