Window repositioning for Printed Arabic Recognition
| Autor: | Alfons Juan, Ihab Khoury, Jesús Andrés-Ferrer, Adrià Giménez |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Arabic
Computer science Speech recognition Feature extraction Repositioning ESTADISTICA E INVESTIGACION OPERATIVA Sliding Window Window (computing) Printed Arabic Recognition language.human_language Image (mathematics) ComputingMethodologies_PATTERNRECOGNITION Bernoulli HMMs Artificial Intelligence Signal Processing ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Key (cryptography) language Computer Vision and Pattern Recognition LENGUAJES Y SISTEMAS INFORMATICOS Software |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 2009-1451 |
| DOI: | 10.1016/j.patrec.2014.08.009 |
| Popis: | [EN] Bernoulli HMMs are conventional HMMs in which the emission probabilities are modeled with Bernoulli mixtures. They have recently been applied, with good results, in off-line text recognition in many languages, in particular, Arabic. A key idea that has proven to be very effective in this application of Bernoulli HMMs is the use of a sliding window of adequate width for feature extraction. This idea has allowed us to obtain very competitive results in the recognition of both Arabic handwriting and printed text. Indeed, a system based on it ranked first at the ICDAR 2011 Arabic recognition competition on the Arabic Printed Text Image (APTI) database. More recently, this idea has been refined by using repositioning techniques for extracted windows, leading to further improvements in Arabic handwriting recognition. In the case of printed text, this refinement led to an improved system which ranked second at the ICDAR 2013 second competition on APTI, only at a marginal distance from the best system. In this work, we describe the development of this improved system. Following evaluation protocols similar to those of the competitions on APTI, exhaustive experiments are detailed from which state-of-the-art results are obtained. The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/ICT-287755) under grant agreement no. 287755. The research is also supported by the Spanish Government (Plan E, iTrans2 TIN2009-14511 and AECID 2011/2012 grant). |
| Databáze: | OpenAIRE |
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