Handwritten CAPTCHA: Using the Difference in the Abilities of Humans and Machines in Reading Handwritten Words

Document Type

Conference Proceeding

Publication Date



Handwritten text offers challenges that are rarely encountered in machine-printed text. In addition, most problems faced in reading machine-printed text (e.g., character recognition, word segmentation, letter segmentation, etc.) are more severe, in handwritten text. In this paper we present the application of human interactive proofs (HIP), which is a relatively new research area with the primary focus of defending online services against abusive attacks. It uses a set of security protocols based on automatic tests that humans can pass but the state-of-the-art computer programs cannot. This is accomplished by exploiting the differential in the proficiency between humans and computers in reading handwritten word images.


Copyright 2004 IEEE

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Publication Title

Ninth International Workshop on Frontiers in Handwriting Recognition

Published Citation

Rusu, Amalia, and Venu Govindaraju. "Handwritten CAPTCHA: Using the difference in the abilities of humans and machines in reading handwritten words." In Ninth International Workshop on Frontiers in Handwriting Recognition, pp. 226-231. IEEE, 2004. DOI: 10.1109/IWFHR.2004.54



Peer Reviewed