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Text recognition



Recognitionsystem

Textrecognitiongenerallyincludesseveralpartssuchasthecollectionoftextinformation,theanalysisandprocessingofinformation,andtheclassificationofinformation.

InformationcollectionThegrayscaleofthetextonthepaperistransformedintoanelectricalsignal,whichisinputintothecomputer.Informationcollectionisrealizedbythepaperfeedingmechanismandphotoelectricconversiondeviceinthecharacterrecognitionmachine,suchasflyingspotscanning,camera,photosensitiveelement,laserscanningandotherphotoelectricconversiondevices.

Informationanalysisandprocessingeliminatesallkindsofnoiseandinterferencecausedbyprintingquality,paperquality(uniformity,stains,etc.)orwritingtoolsonthetransformedelectricalsignal,andperformssize,deflection,Variousnormalizationtreatmentssuchasshadeandthickness.

ClassificationanddiscriminationofinformationCarryoutclassificationanddiscriminationonthetextinformationafterthenoiseisremovedandnormalizedtooutputtherecognitionresult.

Recognitionmethod

TextrecognitionmethodThetextrecognitionmethodisbasicallydividedintothreecategories:statistics,logicaljudgmentandsyntax.Commonlyusedmethodsincludetemplatematchingandgeometricfeatureextraction.

①Thetemplatematchingmethodcorrelatestheinputtextwiththegivenstandardtext(template)ofeachcategory,calculatesthedegreeofsimilaritybetweentheinputtextandeachtemplate,andtakesthecategorywiththegreatestsimilarityasRecognitionresults.Thedisadvantageofthismethodisthatwhenthenumberofrecognizedcategoriesincreases,thenumberofstandardtexttemplatesalsoincreases.Ontheonehand,itwillincreasethestoragecapacityofthemachine,andontheotherhand,itwillalsoreducetheaccuracyofrecognition,sothismethodissuitableforrecognizingprintedcharacterswithfixedfonts.Theadvantageofthismethodistousetheentiretextforsimilaritycalculation,soithasstrongadaptabilitytotextdefectsandedgenoise.

②Thegeometricfeatureextractionmethodextractssomegeometricfeaturesofthetext,suchastheendpoints,bifurcationpoints,concaveandconvexpartsofthetext,horizontal,vertical,andinclinedlinesegments,closedloops,etc.,accordingtothesefeaturesThepositionandmutualrelationshipofthetwoarejudgedbylogicalcombination,andtherecognitionresultisobtained.Thisrecognitionmethodusesstructuralinformation,andisalsosuitableforcharacterswithlargedeformationssuchashandwrittencharacters.

Applicationfields

Textrecognitioncanbeappliedtomanyfields,suchasreading,translation,retrievalofdocuments,sortingoflettersandpackages,editingandproofreadingofmanuscripts,andalargenumberofstatisticalreportsAndthecollectionandanalysisofcards,theprocessingofbankchecks,thestatisticalsummaryofcommodityinvoices,theidentificationofcommoditycodes,themanagementofcommoditywarehouses,andthecollectionofwater,electricity,gas,rent,personalinsuranceandotherfees.Automaticprocessingandpartialautomationofofficetypists'work,etc.Aswellasdocumentretrievalandidentificationofvariousdocuments,itisconvenientforuserstoenterinformationquicklyandimprovetheworkefficiencyofallwalksoflife.

Commonlyusedsoftware

Textrecognition

ScanOCRtextrecognitionsoftware,supportall-roundscanning,photorecognitionandtranslationtechnology,isapicturetotextthatsupportstextextractionandPhotographliteracytranslationsoftwarewithtexteditingfunction.

Commonfunctions

1.Uploadpicturerecognition:Fasttextrecognitionsupportsdirectuploadofmobilephonephotoalbumpicturesandconvertthemintotext;

2,photorecognition

3,picturegenerationPDF

4,phototranslationp>

5.Ticketrecognition

6.Handwritingrecognition

CurrentsituationinChina

WiththecomprehensivedevelopmentofChina'sinformatizationconstruction,OCRtextrecognitiontechnologyhasbeenbornformorethan20years,andhasexperiencedthetransformationfromlaboratorytechnologytoproducts,andhasenteredthematurestageofindustryapplicationdevelopment.Comparedwiththewidespreadapplicationindevelopedcountries,theapplicationofOCRtextrecognitiontechnologyinallwalksoflifeinChinastillhasabroadspace.Asthenationalinformatizationconstructionentersthecontentconstructionstage,abrand-newindustryapplicationsituationhasbeencreatedforOCRtextrecognitiontechnology.LeadingChinesecharacterrecognitioncompaniessuchasWentong,YunmaiTechnologyandHanwangwillgodeeperintovariousfieldsofinformationconstruction.

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