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Computational linguistics / Image processing / Artificial intelligence / CAPTCHA / Optical character recognition / Computing / ARCS / Segmentation / System software / Artificial intelligence applications / Automatic identification and data capture


Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs) Kumar Chellapilla, Kevin Larson, Patrice Simard, Mary Czerwinski Microsoft Research, Redmond, WA 98053 {kumarc, kevla
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Document Date: 2009-11-09 01:40:23


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City

Santa Clara / Seattle / Reading / Palo Alto / New York / /

Company

Neural Information Processing Systems / MIT Press / Register.com / ACM Press / Google / Yahoo! / the Times / /

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Facility

Building Segmentation Based Humanfriendly Human Interaction Proofs / /

IndustryTerm

template matching algorithms / large software / online resource / segmentation algorithm / present several useful applications / free email systems / e - commerce / document processing / internet web sites / /

MarketIndex

SET 100 / set 10 / /

Organization

MIT / Los Alamitos / IEEE Computer Society / /

Person

Chau Luu / Baird / Mary Czerwinski / Blum / Kevin Larson / /

ProvinceOrState

New York / California / /

PublishedMedium

the Times / /

Technology

computer algorithm / OCR / neural network / artificial intelligence / template matching algorithms / feature-based algorithms / segmentation algorithm / machine learning / /

URL

Ticketmaster.com / http /

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