Title :
Embedding information within dynamic visual patterns
Author :
Liao, Wen-Hung ; Chang, Chi-Chih
Author_Institution :
Dept. of Comput. Sci., Nat. Chengchi Univ., Taipei
Abstract :
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
Keywords :
computer vision; digital signatures; image recognition; image texture; telecommunication security; visual perception; CAPTCHA; automatic human-machine distinction; automatic processing; dynamic visual patterns; embedded information; embedded text extraction; encoded text information; image content diversification; machine vision algorithms; reverse Turing test; static visual patterns; texture-image based approach; textured visual patterns; Computer networks; Computer science; Data mining; Hardware; Humans; Information retrieval; Information technology; Machine vision; Radio access networks; Testing;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394345
