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

Document Type

Conference Proceeding

Publication Date

2004

Abstract

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.

Comments

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

DOI

10.1109/IWFHR.2004.54

Peer Reviewed

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