Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-35292-8_19 | ADVANCES IN SPEECH AND LANGUAGE TECHNOLOGIES FOR IBERIAN LANGUAGES |
Keywords | DocType | Volume |
Off-Line Continuous Handwritten Text Recognition,Mixture of Gaussian Densities,Mixture of Bernoulli Distributions,Hidden Markov Model Emission Probability | Conference | 328 |
ISSN | Citations | PageRank |
1865-0929 | 0 | 0.34 |
References | Authors | |
10 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alejandro Hector Toselli | 1 | 162 | 19.14 |
| Nicolás Serrano | 2 | 277 | 32.84 |
| Adrià Giménez-Pastor | 3 | 0 | 0.34 |
| Ihab Khoury | 4 | 21 | 1.95 |
| alfons juan | 5 | 572 | 61.45 |
| Enrique Vidal | 6 | 33 | 5.26 |