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dc.contributor.advisorAmar Gupta.en_US
dc.contributor.authorChaudhry, Fawaz A. (Fawaz Altaf), 1978-en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2014-05-07T17:06:42Z
dc.date.available2014-05-07T17:06:42Z
dc.date.copyright2001en_US
dc.date.issued2001en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/86800
dc.descriptionThesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.en_US
dc.descriptionIncludes bibliographical references (leaves 68-69).en_US
dc.description.statementofresponsibilityby Fawaz A. Chaudhry.en_US
dc.format.extent69 leavesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleA system for offline automated recognition of unconstrained handwritten numeralsen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.and S.B.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc51111300en_US


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