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Books > Computing & IT > Applications of computing > Image processing
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Human Interactive Proofs - Second International Workshop, HIP 2005, Bethlehem, PA, USA, May 19-20, 2005, Proceedings (Paperback, 2005 ed.)
Loot Price: R1,532
Discovery Miles 15 320
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Human Interactive Proofs - Second International Workshop, HIP 2005, Bethlehem, PA, USA, May 19-20, 2005, Proceedings (Paperback, 2005 ed.)
Series: Lecture Notes in Computer Science, 3517
Expected to ship within 10 - 15 working days
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E-commerce services are su?ering abuse by programs (bots, spiders,
etc.) m- querading as legitimate human users. E?orts to defend
against such attacks have, over the past several years, stimulated
investigations into a new family of security protocols - "Human
Interactive Proofs" (HIPs) - which allow a person to authenticate
herself as a member of a given group: e.g., as a human (vs. a
machine), as herself (vs. anyoneelse), as an adult (vs. a child).
Most commercial
usesofHIPstodayareCAPTCHAs,"CompletelyAutomaticPublicTuringtests to
tell Computers and Humans Apart," which exploit the gap in ability
between humans and machine vision systems in reading images of
text. HIP challenges can also be non-graphical, e.g., requiring
recognition of speech, solving puzzles, etc.
Wearepleasedtopresentthe?rstrefereedandarchivallypublishedcollection
of state-of-the-art papers on HIPs and CAPTCHAs. Each paper was
reviewed by three members of the Program Committee, judged by the
Co-chairs to be of su?cient relevance and quality, and revised by
the authors in response to the referees' suggestions. The papers
investigate performance analysis of novel CAPTCHAs, HIP -
chitectures, and the role of HIPs within security systems. Kumar
Chellapilla, Kevin Larson, Patrice Simard, and Mary Czerwinski
describe user trials of a CAPTCHA designed to resist segmentation
attacks, including a systematic evaluation of its tolerance by
human users. Henry Baird, Michael Moll, and Sui- Yu Wang analyze
data from a human legibility trial of another segmentati-
resistantCAPTCHAandlocateahighlylegibleengineeringregime.AmaliaRusu
and Venu Govindaraju describe research towards CAPTCHAs based on
reading synthetically damaged images of real images of
unconstrained handwritten text.
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