Title :
Telling computers and humans apart automatically using activity recognition
Author :
Vimina, E.R. ; Areekal, Alba Urmese
Author_Institution :
Dept. of Comput. Sci., Rajagiri Coll. of Social Sci., Kalamassery, India
Abstract :
This paper proposes a new image based CAPTCHA test, activity recognition CAPTCHA. In this test the user is presented with a set of distorted images depicting a randomly chosen activity. The user has to recognize the common activity associated with the images and annotate it from a given list of activities to pass the test. The user studies indicate that this CAPTCHA can be solved with 99.04% average pass rate while that of ESP PIX CAPTCHA is 85.44% and SQUIGL PIX is 67.84%. Average time taken to pass the test is less than 10 seconds.
Keywords :
computer vision; graphical user interfaces; human computer interaction; image recognition; security of data; GUI; SQUIGL PIX; activity recognition; image based CAPTCHA test; image distortion; machine vision problem; Automatic testing; Computer science; Cybernetics; Educational institutions; Electrostatic precipitators; Humans; Image recognition; Internet; Text recognition; USA Councils; Activity recognition; CAPTCHA; reverse turing test; security;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346260
