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HWNet v2: an efficient word image representation for handwr..:
Krishnan, Praveen
;
Jawahar, C. V.
International Journal on Document Analysis and Recognition (IJDAR). 22 (2019) 4 - p. 387-405 , 2019
Link:
https://doi.org/10.1007/s10032-019-00336-x
RT Journal T1 <Title>HWNet v2: an efficient word image representation for handwritten documents</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s10032-019-00336-x&Exemplar=1&LAN=DE A1 Krishnan, Praveen A1 Jawahar, C. V. PB Springer Science and Business Media LLC YR 2019 SN 1433-2833 SN 1433-2825 JF International Journal on Document Analysis and Recognition (IJDAR) VO 22 IS 4 SP 387 OP 405 LK http://dx.doi.org/https://doi.org/10.1007/s10032-019-00336-x DO https://doi.org/10.1007/s10032-019-00336-x SF ELIB - SuUB Bremen
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