@inproceedings{92df3df355d14b2596ca6fd4a66f49cd,
title = "Handwritten CAPTCHA: Using the difference in the abilities of humans and machines in reading handwritten words",
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.",
keywords = "CAPTCHA, Challenge Response Protocol, Handwriting Recognition, Human Interactive proof (HIP), OCR, SPAM, Turing tests, Web security, Word Recognition",
author = "Amalia Rusu and Venu Govindaraju",
year = "2004",
doi = "10.1109/IWFHR.2004.54",
language = "English",
isbn = "0769521878",
series = "Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR",
pages = "226--231",
editor = "F. Kimura and H. Fujisawa",
booktitle = "Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004",
note = "Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004 ; Conference date: 26-10-2004 Through 29-10-2004",
}