Handwritten CAPTCHA: Using the Difference in the Abilities of Humans and Machines in Reading Handwritten Words
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.
Ninth International Workshop on Frontiers in Handwriting Recognition
Rusu, Amalia and Govindaraju, Venu, "Handwritten CAPTCHA: Using the Difference in the Abilities of Humans and Machines in Reading Handwritten Words" (2004). Engineering Faculty Publications. 233.
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