Girmaw Abebe Tadesse, Oliver Bent, et al.
IEEE SPM
We describe experiments on a writer dependent large vocabulary (20000) handwriting recognition system. The goal was to investigate the effects of different degrees of tying (and hence, of the number) of parameters on the error rate. The system recognizes cursive, printed or any combination thereof of script in real time on small PC platforms. Baseline results for a writer independent system are also included. Since we are only interested in the shape models no language models were used. © 1996 IEEE.
Girmaw Abebe Tadesse, Oliver Bent, et al.
IEEE SPM
Xiaohui Shen, Gang Hua, et al.
FG 2011
Silvio Savarese, Holly Rushmeier, et al.
Proceedings of the IEEE International Conference on Computer Vision
R.A. Gopinath, Markus Lang, et al.
ICIP 1994