Language technology for handwritten text recognition

This paper shows how the nowadays prevalent technology used in HTR borrows concepts and methods from the field of ASR; i.e. those based on Hidden Markov Models (HMMs). Additionally, it will be described a HTR approach based on employing Bernoulli distributions rather than Gaussian-Mixture distributions for the HMM-state emission probability of observations. Finally, handwritten text recognition evaluation results are reported for several corpora involving different characteristics and languages.Work supported by the EC (FEDER), the Spanish MEC under the MIPRCV “Consolider Ingenio 2010” research programme (CSD2007- 00018) and the Spanisg Government (MICINN and “Plan E”) under the MITTRAL (TIN2009-14633-C03-01) research project.Toselli, AH.; Serrano Martínez-Santos, N.; Giménez Pastor, A.; Khoury, I.; Juan Císcar, A.; Vidal Ruiz, E. (2012). Language technology for handwritten text recognition. En Advances in Speech and Language Technologies for Iberian Languages. Springer Verlag (Germany). 328:178-186. doi:10.1007/978-3-642-35292-8_19S17818632