Ground-Truth production in the tranScriptorium Project

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Tran Scriptorium is a 3-years project that aims to develop innovative, cost-effective solutions for the indexing, search and full transcription of historical handwritten document images, using Handwritten Text Recognition (HTR) technology. The production of ground-truth (GT) of a dataset of handwritten document images is among the first tasks. We address novel approaches for the faster production of this GT based on crowd-sourcing and on prior-knowledge methods. We also address here a novel low-cost semi-supervised procedure for obtaining pairs of correct line-level aligned detected/extracted text line images and text line transcripts, specially suitable for training models of the HTR technology employed in Tran Scriptorium.Work supported by the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement No.600707 - tranScriptorium.Gatos, B.; Louloudis, G.; Caser, T.; Grint, K.; Romero Gómez, V.; Sánchez Peiró, JA.; Toselli, AH.... (2014). Ground-Truth production in the tranScriptorium Project. En Document Analysis Systems (DAS), 2014 11th IAPR International Workshop on. IEEE Computer Society - Conference Publishing Services (CPS). 237-241. https://doi.org/10.1109/DAS.2014.23S23724