Abstract
This chapter presents the core elements characterizing the analysis and study of a CAPTCHA test. Each element is introduced and described by its main features. Then, an overview of advantages and limitations in the context of the core elements regarding the CAPTCHA test is described. It is accomplished by shortly surveying on different relevant works concerning the CAPTCHA elements and previously introduced in the literature, together with their limitations. In the end, a summary of the main open questions about the presented literature is provided.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baecher P, Fischlin M, Gordon L, Langenberg R, Lutzow M, Schroder D (2010) CAPTCHAs: the good, the bad, and the ugly. In: Proceedings of GI-Sicherheit. Lecture notes in informatics, vol 170, pp 353–365
Nielsen J (2003) Usability 101: introduction to usability. http://www.useit.com/alertbox/20030825.html
Rusu A, Govindaraju V (2005) Visual CAPTCHA with handwritten image analysis. In: Proceedings of HIP. Lecture notes in computer science, vol 3517. Springer, pp 42–52
Baird HS, Riopka T (2005) ScatterType: a reading CAPTCHA resistant to segmentation attack. In: Proceedings of document recognition and retrieval XII. SPIE-IS&T electronic imaging, SPIE, vol 5676, pp 197–207
Khan M, Shah T, Batool SI (2016) A new implementation of chaotic S-boxes in CAPTCHA. SIViP 10(2):293–300
Kim JW, Chung WK, Cho HG (2010) A new image-based CAPTCHA using the orientation. Visual Comput 26(6):1135–1143
Li Q (2015) A computer vision attack on the ARTiFACIAL CAPTCHA. Multimed Tools Appl 74(13):4583–4597
Kim J, Yang J, Wohn K (2014) AgeCAPTCHA: an image-based CAPTCHA that annotates images of human faces with their age groups. KSII Trans Internet Inf Syst 8(3):1071–1092
Moran TP (1981) The command language grammar: a representation for the user interface of interactive computer systems. Int J Man Mach Stud 15(1):3–50
Madathil GF, Alapatt JS, Greenstein JS, Madathil KC (2010) An investigation of the usability of image-based CAPTCHAs. In: Proceedings of the human factors and ergonomics society annual meeting, vol 54, no 16, pp 1249–1253
Lee YL, Hsu CH (2011) Usability study of text-based CAPTCHAs. Displays 32(2):81–86
Belk M, Germanakos P, Fidas C, Spanoudis G, Samaras G (2013) Studying the effect of human cognition on text and image recognition CAPTCHA mechanisms. In: Proceedings of HAS/HCII. Lecture notes in computer science, vol 8030, pp 71–79
Belk M, Fidas C, Germanakos P, Samaras G (2015) Do human cognitive differences in information processing affect preference and performance of CAPTCHA? Int J Hum Comput Stud 84:118
Brodić D, Amelio A, Draganov IR (2016) Response time analysis of text-based CAPTCHA by association rules. In: Proceedings of 17th international conference on artificial intelligence: methodology, systems, applications AIMSA. Lecture notes in computer science, vol 9883. Springer, pp 78–88
Brodić D, Amelio A (2016) Analysis of the human-computer interaction on the example of image-based CAPTCHA by association rule mining. In: Proceedings of 5th international workshop on symbiotic interaction. Lecture notes in computer science, vol 9961. Springer. https://doi.org/10.1007/978-3-319-57753-14
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Brodić, D., Amelio, A. (2020). Characteristics of CAPTCHA. In: The CAPTCHA: Perspectives and Challenges. Smart Innovation, Systems and Technologies, vol 162. Springer, Cham. https://doi.org/10.1007/978-3-030-29345-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-29345-1_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29344-4
Online ISBN: 978-3-030-29345-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)