TY - GEN
T1 - Searching for character models
AU - Edwards, Jaety
AU - Forsyth, David
PY - 2005
Y1 - 2005
N2 - We introduce a method to automatically improve character models for a handwritten script without the use of transcriptions and using a minimum of document specific training data. We show that we can use searches for the words in a dictionary to identify portions of the document whose transcriptions are unambiguous. Using templates extracted from those regions, we retrain our character prediction model to drastically improve our search retrieval performance for words in the document.
AB - We introduce a method to automatically improve character models for a handwritten script without the use of transcriptions and using a minimum of document specific training data. We show that we can use searches for the words in a dictionary to identify portions of the document whose transcriptions are unambiguous. Using templates extracted from those regions, we retrain our character prediction model to drastically improve our search retrieval performance for words in the document.
UR - http://www.scopus.com/inward/record.url?scp=63349098062&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=63349098062&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:63349098062
SN - 9780262232531
T3 - Advances in Neural Information Processing Systems
SP - 331
EP - 338
BT - Advances in Neural Information Processing Systems 18 - Proceedings of the 2005 Conference
T2 - 2005 Annual Conference on Neural Information Processing Systems, NIPS 2005
Y2 - 5 December 2005 through 8 December 2005
ER -