DocumentCode :
3579214
Title :
Multilingual number image interpreter
Author :
Upadhye, Vinod ; Shrawankar, Urmila
Author_Institution :
G. H. Raisoni College of Engineering, Nagpur (MS), India
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
India is multilingual country, in India people speak different language, and they also used different ways to write number text. Due to lack of language knowledge, people are not able to read number text from one language to another language. This proposed method solves the problem of reading number text from one language to another language. It is part of Natural Language Processing (NLP). Optical Character is used for separate out number text from image. Perform translation on number text by using rule based approach, so that it will convert number text from one regional language to another regional language. By using speech synthesis, it will give number text in voice form
Keywords :
Biological neural networks; Feeds; Image segmentation; Indexes; Neurons; Speech; Speech synthesis; NLP; Rule based approach; Speech Synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-3974-9
Type :
conf
DOI :
10.1109/ICCIC.2014.7238425
Filename :
7238425
Link To Document :
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