?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=ANN-based+Innovative+Segmentation+Method+for+Handwritten+text+in+Assamese&rft.creator=Bhattacharyya%2C+Kaustubh+&rft.creator=Sarma%2C+Kandarpa+Kumar+&rft.subject=Neural+Nets&rft.description=Artificial+Neural+Network+(ANN)+s+has+widely+been+used+for+recognition+of+optically+scanned+character%2C+which+partially+emulates+human+thinking+in+the+domain+of+the+Artificial+Intelligence.+But+prior+to+recognition%2C+it+is+necessary+to+segment+the+character+from+the+text+to+sentences%2C+words+etc.+Segmentation+of+words+into+individual+letters+has+been+one+of+the+major+problems+in+handwriting+recognition.+Despite+several+successful+works+all+over+the+work%2C+development+of+such+tools+in+specific+languages+is+still+an+ongoing+process+especially+in+the+Indian+context.+This+work+explores+the+application+of+ANN+as+an+aid+to+segmentation+of+handwritten+characters+in+Assamese-+an+important+language+in+the+North+Eastern+part+of+India.+The+work+explores+the+performance+difference+obtained+in+applying+an+ANN-based+dynamic+segmentation+algorithm+compared+to+projection-+based+static+segmentation.+The+algorithm+involves%2C+first+training+of+an+ANN+with+individual+handwritten+characters+recorded+from+different+individuals.+Handwritten+sentences+are+separated+out+from+text+using+a+static+segmentation+method.+From+the+segmented+line%2C+individual+characters+are+separated+out+by+first+over+segmenting+the+entire+line.+Each+of+the+segments+thus+obtained%2C+next%2C+is+fed+to+the+trained+ANN.+The+point+of+segmentation+at+which+the+ANN+recognizes+a+segment+or+a+combination+of+several+segments+to+be+similar+to+a+handwritten+character%2C+a+segmentation+boundary+for+the+character+is+assumed+to+exist+and+segmentation+performed.+The+segmented+character+is+next+compared+to+the+best+available+match+and+the+segmentation+boundary+confirmed.&rft.publisher=International+Journal+of+Computer+Science+Issues%2C+IJCSI&rft.date=2009-10&rft.type=Journal+(Paginated)&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F6720%2F1%2FIJCSI-5-9-16.pdf&rft.identifier=++Bhattacharyya%2C+Kaustubh++and+Sarma%2C+Kandarpa+Kumar+++(2009)+ANN-based+Innovative+Segmentation+Method+for+Handwritten+text+in+Assamese.++%5BJournal+(Paginated)%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F6720%2F