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手写英文字符识别系统 Introduction Handwritingisoneofthemostbasicandnaturalformsofcommunication,andhasbeenusedthroughouthistorytorecordinformationandcommunicateideas.Theinventionofcomputersandtheinternethasledtoadeclineintheamountofhandwritingthatisdoneonadailybasis;however,therearestillmanysituationswherehandwritingisimportant,suchasfillingoutforms,signingcontracts,andwritingnotes.Inthesesituations,handwritingrecognitionsystemscanbeuseful,allowinguserstoinputtextbywritingratherthantyping. Handwritingrecognitionistheprocessoftranslatinghandwrittencharactersintodigitaltext.Theapplicationofhandwritingrecognitioncanbefoundinarangeoffields,includingeducation,finance,logistics,andhealthcare,whichcanhelppeopletorecord,organize,andretrieveinformationmoreefficiently.Withthedevelopmentofartificialintelligenceandmachinelearningtechnology,handwritingrecognitionalgorithmsbasedondeepneuralnetworkshaveshowngreatpromise,andhavegraduallybecomeaneffectivemeansofcharacterrecognition. Thispaperwillexplorehandwritingrecognitionsystemsindepth,includingtheirhistory,varioustechnologies,andfuturedevelopments.Specifically,thepaperwilldescribetheprocessofdevelopingahandwritingrecognitionsystem,focusingonthetechnologiesandalgorithmsrelatedtothisfield. HistoryofHandwritingRecognition Theideaofhandwritingrecognitiondatesbacktotheearlydaysofcomputingwhenresearchersattemptedtodevelopsystemsthatcouldtranslatewrittencharactersintomachine-readabletext.Inthe1950sand1960s,earlyhandwritingrecognitionsystemsusedbasicimageprocessingtechniquestorecognizeindividualcharacters,suchasdigits.Thesesystemswerelimitedintheiraccuracyandcouldonlyprocessasmallnumberofcharacters. Inthe1970sand1980s,thedevelopmentofopticalcharacterrecognition(OCR)technologyledtosignificantimprovementsinhandwritingrecognition.OCRistheprocessofconvertingprintedorwrittencharactersintodigitalformatusingimageprocessingalgorithms.WithOCRtechnology,itbecamepossibletorecognizeentiresentencesandparagraphsofwrittentextwithahighdegreeofaccuracy. The1990ssa