?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=To+Improve+the+Performance+of+Handwritten+digit+Recognition+using+Support+Vector+Machine&rft.creator=anshu%2C+Mr.+anshuman+sharma&rft.subject=Machine+Learning&rft.description=Handwritten+Numeral+recognition+plays+a+vital+role+in+postal+automation+services+especially+in+countries+like+India+where+multiple+languages+and+scripts+are+used+Discrete+Hidden+Markov+Model+(HMM)+and+hybrid+of+Neural+Network+(NN)+and+HMM+are+popular+methods+in+handwritten+word+recognition+system.+The+hybrid+system+gives+better+recognition+result+due+to+better+discrimination+capability+of+the+NN.+A+major+problem+in+handwriting+recognition+is+the+huge+variability+and+distortions+of+patterns.+Elastic+models+based+on+local+observations+and+dynamic+programming+such+HMM+are+not+efficient+to+absorb+this+variability.+But+their+vision+is+local.+But+they+cannot+face+to+length+variability+and+they+are+very+sensitive+to+distortions.+Then+the+SVM+is+used+to+estimate+global+correlations+and+classify+the+pattern.+Support+Vector+Machine+(SVM)+is+an+alternative+to+NN.+In+Handwritten+recognition%2C+SVM+gives+a+better+recognition+result.+The+aim+of+this+paper+is+to+develop+an+approach+which+improve+the+efficiency+of+handwritten+recognition+using+artificial+neural+network&rft.date=2012-03-20&rft.type=Journal+(On-line%2FUnpaginated)&rft.type=PeerReviewed&rft.format=text%2Fhtml&rft.identifier=http%3A%2F%2Fcogprints.org%2F8118%2F2%2Fanshu%2520paper2.doc&rft.identifier=++anshu%2C+Mr.+anshuman+sharma++(2012)+To+Improve+the+Performance+of+Handwritten+digit+Recognition+using+Support+Vector+Machine.++%5BJournal+(On-line%2FUnpaginated)%5D++++(Unpublished)++&rft.relation=http%3A%2F%2Fcogprints.org%2F8118%2F