Paper
17 January 2005 On the challenges that handwritten text images pose to computers and new practical applications
Author Affiliations +
Proceedings Volume 5676, Document Recognition and Retrieval XII; (2005) https://doi.org/10.1117/12.586350
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
Most of the handwritten text challenges are usually either more severe or not encountered in machine-printed text. In contrast to the traditional role of handwriting recognition in various applications, we explore a different perspective inspired by these challenges and introduce new applications based on security systems and HIP. Human Interactive Proofs (HIP) emerged as a very active research area that has focused on defending online services against abusive attacks. The approach uses a set of security protocols based on automatic reverse Turing tests, which virtually all humans can pass but current computer programs don't. In our paper we explore the fact that some recognition tasks are significantly harder for machines than for humans and describe a HIP algorithm that exploits the gap in ability between humans and computers in reading handwritten text images. We also present several promising applications of HIP for Cyber security.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Amalia I. Rusu and Venu Govindaraju "On the challenges that handwritten text images pose to computers and new practical applications", Proc. SPIE 5676, Document Recognition and Retrieval XII, (17 January 2005); https://doi.org/10.1117/12.586350
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Computing systems

Computer security

Detection and tracking algorithms

Optical character recognition

Software

Image segmentation

Associative arrays

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