no code implementations • 4 Dec 2020 • José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
In this paper, we face the problem of offline handwritten text recognition (HTR) in historical documents when few labeled samples are available and some of them contain errors in the train set.
3 code implementations • 4 Apr 2018 • José Carlos Aradillas, Juan José Murillo-Fuentes, Pablo M. Olmos
We first investigate, for a reduced and fixed number of training samples, 350 lines, how the learning from a large database, the IAM, can be transferred to the learning of the CLC of a reduced database, Washington.