Embedding information within dynamic visual patterns
Wen‐Hung Liao, Chi-Chih Chang · 2005
There exist many scenarios in which the automatic distinction between human and machines is desirable. This paper describes a texture-image based approach to encode text information in such a way that machine vision algorithms will experience difficulties while humans can extract the embedded text effortlessly. We exploit both static and dynamic visual patterns to diversify the image content and discourage automatic processing. Examples of the resulting patterns are presented and their properties are discussed.