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pro vyhledávání: '"Alkhoury, Ihab"'
Autor:
Alkhoury, Ihab
[EN] Research on Arabic Handwritten Text Recognition (HTR) and Arabic-English Machine Translation (MT) has been usually approached as two independent areas of study. However, the idea of creating one system that combines both areas together, in order
Externí odkaz:
http://hdl.handle.net/10251/53029
Autor:
Alkhoury, Ihab
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
To our knowledge, there are only few systems that are able to automatically translate handwritten text images into another language, in particular, Arabic. Typically, the available systems are based on a concatenation of two systems: a Handwritten Te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3b29107dcd175c90514274f74fb7409a
http://hdl.handle.net/10251/33086
http://hdl.handle.net/10251/33086
Autor:
Alkhoury, Ihab, Giménez Pastor, Adrián, Andrés Ferrer, Jesús, Juan Císcar, Alfonso, Sánchez Peiró, Joan Andreu
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
The NIST Open Handwriting Recognition and Translation Evaluation 2013 (NIST OpenHaRT’13) is a performance evaluation assessing technologies that transcribe and translate text in document images. This evaluation is focused on recognizing Arabic text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1499588306c1f739f235627336492cf3
http://hdl.handle.net/10251/54399
http://hdl.handle.net/10251/54399
Autor:
Alkhoury, Ihab
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
This thesis presents new approaches in off-line Arabic Handwriting Recognition based on conventional Bernoulli Hidden Markov models. Until now, the off-line handwriting recognition, in particular, the Arabic handwriting recognition is still far away
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::af759a67a5cc27c2aa75d2fc14aeaa7d
http://hdl.handle.net/10251/11478
http://hdl.handle.net/10251/11478
Publikováno v:
Guide to OCR for Arabic Scripts; 2012, p255-272, 18p
