摘要
Digitrecognitionfromanaturalscenetextinvideosurveillance/broadcastingapplicationsisachallengingresearchtaskduetoblurred,fontvariations,twisted,andnon-uniformcolordistributionissueswithadigitinanaturalscenetoberecognized.Inthispaper,tosolvethedigitnumberrecognitionproblem,aprincipal-axisbasedtopologycontourdescriptorwithsupportvectormachine(SVM)classificationisproposed.Thecontributionsofthispaperinclude:a)alocaldescriptorwithSVMclassificationfordigitrecognition,b)higheraccuracythanthestate-of-theartmethods,andc)lowcomputationalpower(0.03second/digitrecognition),whichmakethismethodadoptabletoreal-timeapplications.
出版日期
2017年02月12日（中国期刊网平台首次上网日期，不代表论文的发表时间）
